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Electronic and Computer Engineer Key Role: Collaborate with law enforcement deploying digital investigative tools in the pursuit of criminals and threat actors. Work in a lab-based environment to develop, refine, and execute new tools and techniques for recovering digital evidence for lawful investigations. Troubleshoot and repair damaged electronics and work on in-circuit debugging and testing features with a goal of determining how they work or recovering user data. Exhibit exceptional attention to detail for developing and following procedures and documenting findings. Work in a fast-paced and mission-oriented environment and be highly motivated with enthusiasm for learning new technologies and tools. This position is located in Quantico, VA. Basic Qualifications: 1+ years of experience working in an engineering laboratory environment, including with common lab equipment such as signal generators, logic analyzers, oscilloscopes, and soldering equipment 1+ years of experience with programming languages such as C, C++, Java, or Python Top Secret clearance Bachelor's degree Additional Qualifications: Experience with electronics design, schematics capture, layout, and fabrication Experience with embedded development for ARM, MIPS, or X86 systems Experience with commercial digital forensics applications using USB, UART, JTAG, and ISP Experience with UNIX or Linux operating systems Ability to work independently and manage and balance a high-priority or high-pressure workload Possession of excellent verbal and written communication skills Bachelor's degree in Electrical or Computer Engineering Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. DRE1

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. Digital Technology Initiative- Electrical and Computer Engineering Faculty Search University of Miami: College of Engineering Location: Coral Gables, FL Job Summary The College of Engineering (CoE) at the University of Miami (Coral Gables, FL) invites nominations and applications for full-time, tenure-track faculty positions at the rank of Assistant, Associate Professor or Full professor with background and expertise in areas including but not limited to Physical Electronics and Integrated Circuits (e.g., nanotechnology, quantum computing, novel circuits and devices for sensing, learning, inference, and computing/communication), Novel Computing Hardware and Systems (e.g., Hardware designs for AI/ML, energy-efficient designs, GPUs and HPC), Data Science/AI/Machine Learning (e.g., fundamentals, trust and explainability, LLMs, autonomous systems, computer vision), Security (e.g., fundamentals, hardware/software/network security, AI for security, software engineering and security). Preference will be given to mid-career faculty applicants, and those with a degree in Electrical Engineering, Computer Engineering or Computer Science. Joint appointments with other departments in the College are possible. The University of Miami (UM) is considered among the top tier institutions of higher education in the U.S. for its academic excellence, superior medical care, and cutting-edge research. At the U, we are committed to attracting a talented workforce to support our common purpose of transforming lives through teaching, research, and service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive to create an environment where everyone contributes in making UM a great place to work. We are one of the largest private employers in Miami-Dade County; home to more than 13,400 faculty and staff from all over the world. Qualifications Competitive candidates must possess a Ph.D. in Computer Engineering, Computer Science, Electrical Engineering or closely related discipline and work collaboratively to advance the strategic initiatives of the College. The candidate will advise both M.S. and Ph.D. students and develop a high-quality and productive sponsored research program. Competitive candidates will have a significant record of academic accomplishments, a demonstrated ability to work collaboratively, a commitment to inclusive excellence, and a willingness to expand disciplinary boundaries to address complex technical and societal grand challenges. The faculty member will have the opportunity to advance strategic initiatives of the College, and build collaborative efforts with other faculty and corporate partners. Application For full consideration, please upload one single file, max. 5MB with the following; Cover Letter (discussing your expertise and anticipated contributions at the University of Miami) Current Curriculum Vitae Research Statement Teaching Statements (including teaching philosophy, teaching experience, commitment to effective learning, and, for the senior position, concepts for new courses) Contact Information (including email and phone numbers, for at least three references) If the file size is larger or you need any technical help with uploading the file(s), please contact Samara Alfonso at coesearch@miami.edu. Initial screening of applications will begin immediately, with hires expected for Fall 2025 or at a later convenient date. If you have any questions, please feel free to contact the Chair of the Search Committee, Dr Manohar Murthi at mmurthi@miami.edu The University of Miami is an Equal Opportunity Employer- Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Faculty

MICRO CENTER is the nation's leading computer and electronic device big box retailer! Our technology superstore has an industry-leading 40,000+ selection of premier computer products and the most knowledgeable staff in the business. Passion, Energy, and commitment describe life at Micro Center. We are passionate about customer service and developing long-term customer relationships. We are looking for those who are committed to these same values. We are currently seeking a self-motivated, results-oriented SERVICE OPERATIONS SUPERVISOR in our Computer Service Repair and Knowledge Bar. It is Micro Center's core promise to take care of our associates and customers which has led to our success over the last 40+ years! Click here to see our job video The SERVICE OPERATIONS SUPERVISOR is responsible for the operational aspects, goals, and metrics of the Computer Service Repair Department. MAJOR RESPONSIBILITIES: Provides leadership and guidance to our Computer Service Repair Department and Knowledge Bar associates. Ensures parts orders and returns are executed accurately and within timeframes specified and store stock quality control. Responsible for cycle counts and manages inventory turns, obsolescence, and markdowns with Service Purchasing. Ensures that customer service standards are met and that difficult customer situations are handled courteously and professionally. Drive performance of the Service Department to meet or exceed the established focus goals for customer satisfaction, productivity, income, and operational efficiency. Responsible for vendor relationship management (parts cost, margin, SLA) Responsible for creating vendor P&Ls. Participate in staffing, orientation, and training activities in the store. Assist with scheduling to ensure proper coverage. Maintain the technical certification level of the shop to ensure proper service and repair of products. Responsible for the look and feel of the parts room and any facility maintenance of the Service Department. EDUCATION & EXPERIENCE: High school diploma or equivalent. Associate's or Bachelor's degree from a college or technical school preferred. At least one year of related supervisory or management experience in a service facility, retail service department, or tech support environment preferred. A+ and Apple certifications are required within 120 days of hire. Communication and Language Skills: Ability to communicate professionally, and handle multiple customers and projects at once. Ability to read, analyze, and interpret general business periodicals, professional journals, or government regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively communicate information verbally in one-on-one and small or large group situations to customers and other Micro Center Associates. Reasoning and Mathematical: Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, and percentages. Ability to apply concepts of basic algebra. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to carry out instructions furnished in written, verbal or diagram form. Physical Requirements: Ability to regularly lift and/or move up to 10 pounds, and occasionally lift to 50 lbs., stand for prolonged periods. Shifts include hours before and after the store is open to the public and may also include mornings, nights, weekends, and holidays. MICRO CENTER OFFERS EXCEPTIONAL BENEFITS: Medical, Dental, and Vision Benefits Coverage for Regular Full-Time Associates 401K Plan with Company Match Paid Time Off Employee Discount that includes a Friends & Family Discount Program Tuition Reimbursement & Education Discounts Esteemed Vendor & Company Job Training Career Advancement Opportunities OUR GROWTH OPPORTUNITIES: At Micro Center, we empower our employees to set their sights high and blaze their trails. This is a place where your future success and growth are truly a result of your efforts and achievements. Our teams are made up of motivated individuals who work hard to advance their careers. Join our team and see how hard work, loyalty, competitive spirit, and unwavering commitment to the customer can take you and your career to new places. Micro Center is an Equal Opportunity Employer.

What success looks like in this role: Provides the full range of Field Engineering support for an assigned base of large / complex clients. Takes complete ownership of onsite service activity. Performs advanced-level maintenance on all products, including low-complexity installation activities. Provides technical feedback on equipment, systems and processes to improve overall service delivery. Uses advanced tools and technical knowledge to resolve client problems and conduct scheduled installs. Identifies and resolves systemic issues within the team. Proactively supports the needs of other team members, providing technical assistance and expertise. Contributes to improved client services metrics reporting and documentation. Monitors technical and process issues, proactively informing the manager and/or team on offering improvement recommendations. You will be successful in this role if you have: High School Diploma or GED required May require technical certification or Associate Degree Generally, 2-4 years' experience in area of responsibility Unisys offers an outstanding benefits package, featuring unlimited paid time off, a 401(k) plan, comprehensive healthcare, HSA matching, ongoing learning opportunities, and more! We're committed to supporting work-life balance and investing in your future success. At Unisys, we incorporate video interviews as a key part of our hiring process. This allows us to get to know you better and provide a more engaging and convenient interview experience. We appreciate your understanding and look forward to connecting with you virtually! This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

Description:About Lockheed Martin Space: Space is a critical domain, connecting our technologies, our security, and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more - we can innovate, invest, inspire, and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We're creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security vision. We're erasing boundaries and forming partnerships across industries and around the world. We're advancing spacecraft and the workforce to fuel the next generation. And we're reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that's built for you About the Team: You'll collaborate with some of the brightest minds in engineering to design and integrate pioneering capabilities that shape the future of our mission. Our high‑impact, cross‑functional team delivers cutting‑edge perception solutions for a variety of mission‑critical platforms. We specialize in classical computer‑vision algorithms-feature detection, stereo matching, optical flow-while also integrating modern AI techniques such as semantic segmentation and learned feature representations. Every solution is engineered with the strict hardware constraints of resource‑limited processors in mind, including the ultra‑low‑power, radiation‑hardened CPUs typical of space‑borne systems. About the Role: We are seeking a proactive Software Engineer who will drive architectural evolution and deliver high‑performance perception code for edge‑deployed platforms. The ideal candidate will: Apply solid software design principles (modularity, testability) to enhance and extend our existing C++/Python codebase Collaborate closely with hardware engineers, optics specialists, system architects, and other stakeholders to transform algorithmic concepts into high‑performance, deployable solutions Write production‑grade C++ code for core functionality, complemented by Python scripts for testing, simulation, and rapid prototyping. Contribute to and leverage our Continuous Integration/Continuous Deployment pipelines using tools such as GitLab CI, Google Test, and Docker for automated builds, containerized testing, and seamless delivery Generally has 1+ years of related experience and may have a post-secondary degree or training in a related discipline. Basic Qualifications: Required Skills: Experience with C++ (C++14/17/20) and Python; Understanding of software design patterns and architectural principles (e.g., SOLID, factory, strategy, visitor, dependency injection) Understanding of core algorithms and data structures (graphs, trees, heaps, dynamic programming, greedy techniques, etc.) Familiar with modern development tooling - Linux/Unix environments, build systems (CMake), debugging/profiling tools (gdb, valgrind). Collaborative communication skills - comfortable discussing technical trade‑offs with peers, documenting design decisions Security Clearance / Work Authorization: To meet requirements of the program/customer, this position requires the selected employee to be a U.S. Citizen. Although not required to start, the selected applicant must be eligible to obtain, and maintain, Top Secret with adjudicated SCI Eligibility (i.e. TS/SCI) for long term employment on this program Desired Skills: Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related technical field (or equivalent professional experience) with 1+ year(s) of software development experience Familiarity with functional programming languages like Rust Experience with containerization (Docker, Kubernetes) Experience with MATLAB Demonstrated experience designing, implementing, or applying computer‑vision algorithms and/or artificial‑intelligence / machine‑learning techniques Prior work on real‑time or embedded systems Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: TS/SCI Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $89,300 - $157,435. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: SPACE Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First

Montgomery College accepts applications for Adjunct/Part-time Faculty on a continuous basis. Applications may be reviewed periodically based on the student enrollment needs. The listing of a course in the schedule of classes as "TBA" does not constitute an assignment. The hiring decision for part-time faculty involves an academic judgment and shall be determined at Management's sole discretion. Job Description The Montgomery College, Rockville Campus, is currently accepting applications for possible openings as a part-time faculty member in the Construction Management program, teaching Computer Applications in Construction. We are seeking an enthusiastic and dedicated teacher who exhibits significant prior Construction Management experience, a high degree of professionalism, a strong commitment to our students, and demonstrates the ability to motivate and educate in an engaging manner. Montgomery College accepts applications for Adjunct/Part-time Faculty on a continuous basis. Applications may be reviewed periodically based on the student enrollment needs. * The listing of a course in the schedule of classes as "TBA" does not constitute an assignment. The hiring decision for part-time faculty involves an academic judgment and shall be determined at Management's sole discretion. During the academic year, part-time faculty at Montgomery College may teach no more than 11.5 ESH (equivalent semester hours) per semester and no more than 23 ESH per academic year. During summer, part-time faculty at Montgomery College may teach no more than 10 ESH (equivalent semester hours) for both sessions combined. Duties and Responsibilities: Based on enrollment needs, teach Based on enrollment needs, teach CMGT190, Computer Applications in Construction. Emphasis is placed on the practical application of Microsoft Word and Excel in producing and maintaining documents for the efficient management of construction projects, and introduces students to Sage Estimating and On-Screen Takeoff for developing estimates, and to Primavera P6 for developing construction schedules. Adhere to the college curriculum and course outcomes Develop a course syllabus consistent with the college's guidelines, college curriculum, and course outcomes Make recommendations for textbooks and educational support materials to the program coordinator Submit to the Applied Technologies Department course syllabi, course calendar, and copies of assignments that contribute more than 20% of the final grade Meet grading deadlines as requested by Admissions and Records and deliver feedback/grades to students in a timely manner Periodically review teaching format, presentation, style, and procedures for potential improvement Manage classroom attendance and record grades in a timely manner Communicate effectively with students and colleagues using email Use Blackboard as a course supplement Participate in program-related events, including program meetings and meetings of the construction management industry advisory committee Perform other responsibilities as described in the part-time faculty handbook Required Qualifications: Bachelor's Degree in a construction-related discipline or related field or the equivalent combination of education, training, certification and/or experience that provides the required knowledge and expertise to perform the essential functions of the job may be considered. Minimum of ten years of industry experience in construction management, including experience in project planning and scheduling, cost estimating, document control, and project administration workflows. Candidates must have a strong knowledge of the Construction and Design industry, particularly as it relates to the Washington Metro area. Proficiency with Microsoft Office in a construction setting, including Outlook, Word, Excel, and PowerPoint Proficiency with construction-specific software applications, including Sage Estimating, On-Screen Takeoff, Primavera P6, and Bluebeam Revu. Proficiency with and ability to use a Learning Management System (LMS) and other web-based instructional technology to facilitate learning in a web-enhanced environment. Demonstrated experience teaching using a variety of delivery methods, online resources, and technology applications across the curriculum. Successful candidates will have a demonstrated commitment to promoting diversity, inclusion, and multicultural competence in an educational and work environment and must be willing to contribute to the College's strategic plan of inclusion. Faculty members are expected to have access to a personal computer with virus protection that can connect to the internet outside of the work location (i.e., office, classroom, college campus) . Montgomery College (MC) provides an MC e-mail account and access to the learning platform, password-protected faculty sections of the website, college listservs, and other faculty communications tools. If you do not have access to a personal computer, please notify the department chair at the time of the interview. Subject to available funds, the college may be able to provide temporary access to resources. Must be eligible to work in the United States without a sponsor. Preferred Qualifications: Master's Degree in a construction-related discipline. Proficiency in AutoCAD and/or Revit. Proficiency in Project Management Information Systems, such as Procore and Kahua. Experience with building information modeling, augmented reality, and/or virtual reality in the construction setting. Previous experience teaching in a college or professional environment. Previous experience using Blackboard Learn. Familiarity with Zoom or Microsoft Teams web meeting platforms. Experience with screen recording software such as Camtasia or Screencast-O-Matic. For degrees earned outside of the U.S., a copy of your education equivalency, conducted by a nationally recognized evaluation service, must be included in your application. Employees must live in Maryland or a state where the College has payroll reciprocity (DC, VA, PA, WV, DE, MA). As a condition of employment, the following are required at the time of hire: Successful completion of a background check and degree verification (if applicable). If a reasonable accommodation is needed to participate in the job application or interview process, please contact Human Resources and Strategic Talent Management at 240-567-5353 or HRSTM@montgomerycollege.edu. We require at least two weeks advance notice to enable us to provide the requested accommodation. Montgomery College is an equal opportunity employer committed to promoting and fostering diversity among its student body, faculty, and staff. Montgomery College is a tobacco-free and smoke-free workplace. Closing Date Wednesday, March 4, 2026

Cultivarium is a Focused Research Organization (FRO) and a Frontier Research Contractor with a mission to accelerate the adoption of novel microorganisms for biotechnology. We are looking for someone who can contribute both individually and as part of a team to create tangible solutions for a ‘moonshot’ project. You will be part of a close-knit, driven team of scientists and engineers that are building technological infrastructure for the cultivation of non-model microorganisms, to open new avenues for science, technology, medicine, and agriculture. We are seeking an AI Intern to help build, fine-tune, and evaluate vision language models (VLMs) in a scientific research environment. This position offers a unique opportunity for an intern to operate in the intersection of AI and biology, spanning topics such as experimental research, scientific documentation, and lab automation. This is a paid internship with an hourly rate of $25–$35, depending on experience and qualifications. The length of the internship is 3 months with the possibility of extension. You will create impact by leveraging your technical skills to develop machine vision applications that use Large Language Models (LLMs), VLMs, and/or Vision Language Action models (VLAs) to assist in the automated documentation of laboratory procedures and their translation into robotic actions. Your focus will be on understanding basic experimental procedures, designing and labeling critical training datasets, fine-tuning and comparing models, and evaluating model performance. Responsibilities include, but are not limited to: Work closely with project manager, engineers, and scientists to architect, build, and annotate training datasets for an experimental research setting. Fine-tune VLMs and evaluate/compare model performance. Identify model limitations and opportunities for improvement. Write clean, maintainable, and testable code, following best practices. Summarize and present your work to your supervisor and team members. Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others. Basic Qualifications Relevant expertise in VLMs, machine vision, Vision Language Action (VLA) models, object recognition/detection, computer detection, large language models (LLMs), building custom agents, robotics. Experience with video dataset annotation via platforms such as Roboflow or V7. Experience with fine-tuning and evaluating VLMs such as Qwen, ViTPose++, YOLO, and DETR on performance metrics such as mAP50 and latency. Coding ability in Python. Interest in Biology and an eagerness to develop subject matter expertise in laboratory equipment and techniques. Ability to thrive in a dynamic environment and adapt quickly to evolving needs. Skilled in creative problem-solving, with keen attention to detail and a collaborative approach. Ability to prioritize tasks effectively, communicate clearly with colleagues, and consistently meet deadlines. Authorized to work in the U.S. without sponsorship. Advanced Qualifications Graduated or pursuing a Master’s degree in computer science, data science, machine learning, or a related field. Track record of success on ML competition platforms such as Kaggle. Hands-on experience with experimental equipment and protocols in Biology at the undergraduate level. Cultivarium aims to help fill a structural gap in today's R&D system. We enable fundamental research that requires unusual levels of scale and coordination that is not yet rapidly monetizable by industry. We’re bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. We identify high-impact scientific or technical research and development opportunities, ultimately defining and launching these projects as Focused Research Organizations. Cultivarium, LLC is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. We strive for a healthy and safe workplace and strictly prohibit harassment of any kind.

Why Join Us? We're a fast-growing, profitable company transforming how computer vision is applied in property technology. By leveraging AI and human expertise we're redefining how property data is captured and used to drive smarter, faster decisions in the field, for operations, and within leadership teams. As a Computer Vision Engineer at Seek Now, you'll pioneer advanced image recognition and 3D modeling techniques to revolutionize property inspections. Leveraging cutting-edge computer vision, you'll help us move beyond manual assessments toward fully automated, data-driven insights-reshaping the future of property intelligence. What You'll Do Design & Implement CV Models- Build computer vision systems for object detection, damage assessment, image segmentation, and measurement extraction from aerial, drone, and ground-level imagery. Advance 3D Reconstruction- Develop algorithms to generate accurate 3D models of homes and property structures using images, LiDAR, and multimodal data sources. Innovate in Real-World Applications- Create real-time or near-real-time solutions for mobile and web platforms to power field inspections. Leverage Multimodal Data- Integrate data from RGB imagery, aerial/satellite sources, and LiDAR to produce richer, more reliable insights. Collaborate & Influence- Partner with product, engineering, and insurance experts to translate technical outputs into actionable business decisions. Drive Continuous Improvement- Stay at the forefront of computer vision and machine learning advancements, and apply emerging techniques to enhance accuracy, scalability, and efficiency. What You Bring Experience- 5+ years in computer vision, machine learning, or applied AI roles, preferably in real-world inspection, insurance, construction, or geospatial domains. Education- Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, Mathematics, Physics, or related technical field. Technical Expertise Deep Learning for 2D image classification, object recognition and semantic/instance segmentation. Strong Background in multimodal data fusion (e.g., RGB, aerial imagery, satellite, LiDAR). Tooling & Language-Proficiency in Python, TensorFlow/PyTorch, OpenCV and strong applied math skills in geometry, linear algebra and optimization. Strategic Mindset-Ability to see beyond the algorithm, anticipating business needs and shaping product direction through AI-driven insights. Nice to Have Experience with insurance, property tech or construction tech solutions. Familiarity with cloud-based ML deployment pipelines (AWS/GCP/Azure). Experience building interactive visualization tools for inspection data or 3D reconstructions. Why You'll Love It Here Ownership & Impact- You'll see your code in production, directly shaping products that matter. Fast Growth, Big Opportunities- As we scale, your role and influence will scale too. Collaborative Team- Join smart, humble engineers who get things done. Autonomy & Flexibility- We trust you to deliver results in the way that works best for you. Benefits and Perks: Seek Now offers exceptional compensation and a great benefits package, including health, dental and vision insurance, 401K with company match, paid time off (PTO), short and long-term disability insurance, AD&D insurance, life insurance, and more as it becomes available. EEO Statement: Seek Now is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. Seek Now does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Department Computer Information Systems By applying to this posting, you are entering an applicant pool for affiliate faculty. Screening of applicants will take place when positions come available. The number of these temporary, part-time, non-tenure track academic positions varies from semester to semester, depending on the needs of the program. As such, not everyone in the applicant pool for this position will be contacted and/or selected to teach. About the University Established in 1965, Metropolitan State University (MSU Denver) was founded to serve students who were underrepresented in higher education whose life paths and experiences did not fit the traditional mold. Sixty years later, the University continues to serve over 16,000 of Colorado's extraordinary and diverse students, providing them with the foundation on which to build their unique aspirations. As the third largest public institution of higher education in Colorado, MSU Denver is a model university for today's college students. Proud of its federal designation as a Hispanic-Serving Institution that also offers graduate programs (gHSI) and the only Seal of Excelencia certified institution in Colorado, the University serves the most diverse undergraduate student population in the state, as well as the most first-generation students. Through affordable, flexible, and holistic education, MSU Denver helps students build essential skills grounded in a multicultural and global perspective that lead to undergraduate and graduate degrees, and career and life success. Position Summary The Department of Computer Information Systems and Business Analytics at Metropolitan State University of Denver (MSU Denver) invites applications for part-time affiliate faculty teaching positions. This listing is for potential future needs for part time affiliate instructors of computer information systems. For more information about the Department of Computer Information Systems and Business Analytics in our College of Business, please visit: https://www.msudenver.edu/computer-information-systems-business-analytics . Responsibilities Teach 3 - 9 credit hours Be available for consultation with students An affiliate faculty member's duties may include but are not limited to: teaching assigned classes in person or online by delivering course content to students, preparing course materials and lesson plans, grading student work, providing students with robust feedback in a timely manner, addressing student questions consistent with university, college/school, and department policies, and providing online or in person academic support to students as needed and appropriate for the teaching assignment; providing instruction in assigned classes consistent with the content and learning objectives of the regular course syllabus and, if required, with department course coordination policies; and complying with university-wide student evaluation of instruction policies and peer observation policies. The ability to adapt and learn new modes of instruction is highly encouraged. Candidates need to be sensitive to the educational needs of a diverse student population. Required Qualifications Master's degree in Computer information Systems or related field Meet the College of Business faculty qualification policy criteria to be classified as either SP or IP: https://www.msudenver.edu/wp-content/uploads/2023/07/College-of-Business-Faculty-Qualifications-Policy.pdf Preferred Qualifications Doctorate or Dissertation complete in a Computer Information Systems related field Work experience in teaching field Terms of Employment Affiliate faculty are part-time, at-will employees hired to teach on a per credit hour basis for specific classes, usually on a semester-by-semester basis. Affiliate faculty are not eligible for benefit coverage under the University's benefit program. All such teaching assignments are dependent on budget and enrollment. Qualified candidates will be expected to teach in person/on campus upon hire. Salary for Announcement The final salary is based on the number of credit hours assigned at a rate determined by university policy. For more information, please view the pay rates under the College of Business: Affiliate-Rates-AY-25-26 How to Apply Candidates must apply online through MSU Denver's career site, https://www.msudenver.edu/careers . Complete applications will include the following materials: Curriculum vitae Cover letter Copies of all unofficial transcripts A list of three professional references and their contact information Applicants will notice on the application portal there is one location (the resume/cover letter submission field) to upload all required materials. Multiple documents can be submitted into this one field; alternatively, merge all documents into one PDF and upload. Once submitted, you will not be able to edit your application. Official transcripts will be required of the candidate selected for hire. Closing Date Open Until Filled Posting Representative Shayna D Tillmon Posting Representative Email stillmon@msudenver.edu Benefits The University's benefits package is comprehensive and offers medical, vision and dental, free RTD pass, tuition reimbursement, as well as a life and supplemental insurance plans, retirement plans and other programs, such as access to a long-term disability (LTD) plan. Visit MSU Denver's benefits website to learn more. For a brief overview, please see: https://www.msudenver.edu/wp-content/uploads/2024/01/MSU-Benefit-Summary.pdf . The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at totalrewards@msudenver.edu. Background Checks Metropolitan State University of Denver is dedicated to ensuring a safe and secure environment for our faculty, staff, students, and visitors. To Assist in achieving that goal, we conduct background checks on all finalists for positions at the University prior to employment. Diversity Statement Metropolitan State University of Denver is a unique, access-oriented campus community that values diversity, equity, and inclusion in all its forms. Our student population consists of nearly 58% first generation students and over 50% students of color. We are a designated Hispanic Serving Institution located in downtown Denver. We create an equitable learning and working environment in concert with individuals who consistently demonstrate commitment to equity and inclusion. We greatly value the diverse identities and perspectives of our students, faculty, and staff and recognize that in order to achieve a just and equitable society, diversity must go beyond simple representation. It requires critical inquiry and dialogue and a commitment to action. We strive to provide a culture of belonging for all community members to achieve personal and professional success.

D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning more than 80 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients’ financial well-being, we also work to strengthen local communities—and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report. Summary/Function: Use knowledge and skills obtained through education and job experience to continuously support users from multiple business groups within DA Davidson. The position will adhere to ITIL principals and be responsible for the resolution and/or escalation of various hardware and software issues, both in-person and remotely. Requirements/Qualifications: * Working knowledge of a Service Desk including ticketing systems, phone system, supporting business applications, workflows and processes * Proficient knowledge of basic computer hardware * Bachelor’s degree in field of specialty or equivalent IT Support experience * Proficient computer skills and knowledge of software packages and their applications to include Microsoft Office and Microsoft operating systems * Excellent communication skills, both oral and written; ability to communicate technical directions, both in person and over the phone to people with a wide variety of technical expertise * Excellent customer service skills; ability to work successfully with a variety of personalities and various management levels * Familiar with department policies, processes and procedures * Consistently treat others with respect and maintain professional attitude and behavior * Ability to work a variety of shifts * Ability to safely lift and carry as much as 35 pounds * Experience working in a team-oriented, collaborative environment * Highly self-motivated and self-directed * Organized and detail oriented * Ability to work in a fast-paced, regulatory, and time sensitive environment * Ability to triage and identify when escalation is necessary * Problem solving skills and critical thinking * Maintain or ability to obtain ITIL foundation certification within 1 year of start date Duties: * Respond, resolve, and escalate incidents or requests, both in person and over the phone, in a timely manner * Attain performance goals set by management for resolving incidents and requests. * Be logged into the support queue defined hours; provide escalation support and satisfactory customer service * Troubleshoot and assist D.A. Davidson Companies’ employees with using their computer and computer peripherals, applications and security credentials * Evaluate workload and capacity of computers and computer system to determine feasibility of expanding or enhancing capabilities or performance; recommend improvements to IT management * Assist in the support of business applications to include but not limited to: patching, testing, software licensing tracking, installing, upgrading, receiving application training, attending internal and external meetings, providing end user training, monitoring application performance, working with vendor support and sales, budgeting and creating documentation to end users and IT staff * Assist in the support of computer life-cycle and office technology to include but not limited to: patching, imaging, deploying, transferring user profiles, evaluating, securing, receiving training on computer O/S and hardware, maintain inventory, manage printer support agreements, work with vendor support and sales, provide documentation to end users and IT staff and help resolve incidents with computer related to the O/S, core applications or hardware that has been escalated from the Service Desk * Work with management to improve personal technical proficiency, support and customer service skills; identify and complete technical training and certifications; develop other work or career goals where progress can be tracked and discussed * Learn and adhere to all D. A. Davidson Companies’ policies and procedures; attend scheduled meetings or training sessions around existing or new policies and/or procedures; recommend change to IT procedures to improve productivity and/or reduce costs * Adhere to and educate users of our defined cybersecurity best practices, which include credential management, phishing and malicious vigilance, and physical security measures. * Manage time to adhere to SLAs while maintaining service excellence * Use ITSM tools and ticketing systems for tracking and contributing to a shared knowledge base * Utilize ITIL best practices * Use and improve upon existing tools, services, and procedures * Other duties as assigned What we offer: Competitive salary plus excellent benefits and perks including, but not limited to: * Medical, Dental and Vision * Company 401(k)and ESOP contribution * Generous sick, vacation, and maternity/parental leave * Paid holidays * Professional Development Opportunities * Tuition Reimbursement ($15,000 lifetime cap) * Charitable gift-matching program * Davidson Day of Giving – Our tradition of positively impacting communities in which we live and work. D.A. Davidson has been in business for 90 years! As an employee-owned company, our success is driven by our high standards of business ethics, integrity and the belief that our Associates are our most important assets. We hope you will consider joining us! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. At D.A. Davidson, we are committed to fostering a diverse environment that supports the development and inclusivity of all employees. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Please answer all questions carefully: incomplete or inaccurate answers may impact your potential employment. By clicking Submit Application, you declare that all statements in this application are truthful to the best of your knowledge. California applicants please see D.A. Davidson's California Resident Privacy Policy .

Founded in 2017, percipient.ai utilizes state-of-the-art research in Computer Vision, Artificial Intelligence, and Deep Learning to develop cutting-edge tools that bridge the gap between AI and human understanding. We pride ourselves on maintaining an inclusive and collaborative work environment that enables each individual to grow while having a meaningful impact on national security. Join our team today. Percipient is currently seeking to hire multiple computer vision scientists with varying levels of experience. Responsibilities: Work on highly impactful computer vision and machine learning problems our customers face. Develop and productize computer vision algorithms drawing upon computer vision literature and using your own ingenuity. Collaborate with engineering and product teams to create solutions. Requirements: Ph.D. in Computer Science or Electrical Engineering with a focus on computer vision. 5 years of industry experience, building and shipping computer vision systems. 2 years of hands-on experience with deep neural network based methods. Experience with object detection, classification, and tracking Strong software development skills. US citizenship required due to federal requirements. Nice to have: 8+ years of relevant work experience. Strong publication record in major CV conferences like CVPR, ICCV, etc. Experience building real-time computer vision systems. Experience architecting and tweaking deep neural networks for solving targeted problems. Very strong proficiency in programming (ideally C++ and python) $155,000 - $300,000 a year Our salary ranges are determined by role, level, and location. The range displayed reflects the average minimum and maximum target for new hire salaries for the position across all locations. Within the range, individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your assessed level and location during the hiring process. We want the best for all of our employees and go out of our way to provide top-tier benefits. Join our team to receive: ● Substantial Equity ● Unlimited Flexible Time Away (FTA) ● 401k Matching ● 90% Employee Medical Premium Coverage ● 65% Dependent/Family Medical Premium Coverage ● Flexible Spending Accounts ● Employee Referral Program ● Lunches & Snacks ● Commuter Benefits ● Life Insurance ● Travel Assistance ● And more Percipient.ai is a proud equal opportunity employer and we are committed to hiring and supporting a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We hire talent located within a daily commutable distance to our office in Santa Clara, CA. We believe in the benefit of a highly collaborative in-office culture, so plan to be in the office 3-4 days a week. Selected candidates need to pass a third-party background check verifying employment, education, and criminal history before starting. Additionally, US citizenship will be verified. At this time, we are not accepting unsolicited submissions from agencies. Thank you. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Staff Computer Vision/AI  Engineer Bright.AI is a high-growth Physical-AI company transforming how businesses interact with the physical world through intelligent automation. We are building a cutting-edge AI platform that processes visual, spatial, and temporal data across billions of real-world events—from edge devices and mobile sensors to large-scale cloud systems.   Our team includes world-class engineers and researchers from companies like Microsoft, Amazon, Tesla, and Meta. We are now hiring a Staff Computer Vision / AI Engineer to help shape the future of real-time visual intelligence and deploy next-generation AI systems at scale.  This is an incredible opportunity to work on cutting-edge AI systems that are redefining physical infrastructure industries. You will work on applied research and production-level ML/AI systems that power real-time decision-making across devices and services. This role requires deep expertise in computer vision, machine learning, and AI system design, with a strong focus on solving real-world problems. You'll work alongside world-class engineers and product leaders to define, build, and ship state-of-the-art AI features that are embedded into our platform.   Responsibilities: Lead the full lifecycle of Computer Vision and ML model development — from data collection and labeling through deployment and monitoring in production environments. Research and implement deep learning models for computer vision tasks including detection, segmentation, classification, tracking, and real-time inference. Drive CV projects from prototyping to production, in alignment with product and platform goals. Collaborate with product, hardware, and cloud teams to design end-to-end intelligent features across the stack. Architect technically robust, scalable, and reliable AI systems in collaboration with cross-functional teams. Solve complex physical-world challenges through structured experimentation and performance optimization. Prioritize and manage multiple initiatives to ensure model performance, reliability, and compliance.  Stay at the forefront of ML/AI and foundational models, integrate key innovations into the product roadmap. Evaluate emerging AI/ML trends and apply them to enable transformative infrastructure automation solutions.   Required Skills & Expertise: 7+ years of experience in computer vision and ML, with deep expertise in applied deep learning. Proven ability to deliver production-grade AI/ML solutions in fast-paced, real-world environments. Full-stack ML development lifecycle experience: data labeling and curation, model training, evaluation, optimization, and deployment. Hands-on technical skills with DL frameworks (PyTorch or TensorFlow) and string programming skills in Python (C++ is a plus). Hands-on experience with CNNs, YOLO, Vision Transformers, model compression, and real-time inference optimization. Hands-on experience deploying models in cloud platforms (AWS/GCP/Azure) and edge devices using TensorRT, ONNX, or TFLite. Strong problem solving and analytical skills, with the ability to convert ambiguity into actionable insights. Excellent team work and collaboration skills; ability to work cross-functionally with software, hardware, and product teams. Effective communicator, capable of conveying complex technical concepts to both technical and non-technical stakeholders. Self-motivated, proactive, and thrives in a dynamic, fast-paced environment.   Educational Background: PhD in Electrical Eng., Computer Science, or a related field with a focus on ML/AI for Computer Vision. Demonstrated research experience in CV with a strong record of publications and/or patents. Experience applying vision-based AI to real-time IoT systems or edge intelligence platforms.   Bonus Qualifications: Applied experience in CV for surveillance, physical-world perception problems, remote sensing, or structural health monitoring. Proficiency in Linux/Ubuntu environments; scripting and tooling around data and deployment workflows Familiarity with Agile development practices and tools such JIRA, Git, Confluence. Experience with embedded systems, Docker containers, or Linux-based deployment pipelines Prior experience in startup or high-growth environments building zero-to-one AI solutions

About Us We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting-edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product-market fit with a substantial customer pipeline already in place. Role Overview We're seeking a Research Scientist with deep expertise in Computer Vision to join our ML team. You'll be at the forefront of developing and deploying state-of-the-art vision models for medical imaging applications. This role focuses on training and scaling vision encoders for radiology diagnosis across multiple modalities including X-rays, CT scans, and MRI. You'll work with one of the largest and most diverse medical imaging datasets in the industry, pushing the boundaries of what's possible in AI-assisted diagnosis while maintaining the rigor required for clinical deployment. Key Responsibilities Design, train, and scale vision foundation models for radiology applications across X-ray, CT, and MRI modalities, implementing self-supervised / contrastive learning frameworks . Evaluate model performance rigorously across academic benchmarks, internal offline datasets, and live production data. Contribute hands-on to all stages of model development including dataset curation , architecture design, distributed training, and production deployment. Stay current with cutting-edge research in computer vision and medical imaging AI. Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale. Qualifications 6+ years of academia/industry experience in computer vision/machine learning Deep expertise in training vision encoder models at scale (e.g. ViT, ConvNeXt). Strong foundation in contrastive learning, self-supervised learning, and foundation model pretraining. Track record of implementing complex models from research papers and adapting them to new domains Proficiency in PyTorch or JAX, with experience training models on multi-GPU/distributed systems Hands-on experience with medical imaging applications, particularly radiology (X-ray, CT, MRI) Strong software engineering skills and ability to write production-quality code Preferred Qualifications Publications at top-tier conferences (CVPR, ICCV/ECCV, NeurIPS, ICLR, MICCAI) Experience with 3D medical image processing and retrieval tasks Knowledge of vision-language models and multimodal learning Experience with model interpretability and explainability methods Understanding of clinical evaluation metrics, clinical workflows, and healthcare data (DICOM, HL7, etc.)

About the company Every physical good spends time in a warehouse, and every warehouse tracks their inventory. Today, nearly 100% of warehouses track their inventory manually using barcode scanners and climbing forklifts. We're Corvus Robotics . Our fully autonomous Corvus One ™ drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency. We believe that data-driven, safe inventory management will optimize the global physical economy and improve economic prosperity for humanity. About the role We are hiring Computer Vision / Machine Learning Software Engineers to build compute-constrained models for deployed robots. You'll tackle diverse technical challenges, working with vast amounts of sensor data to increase environmental awareness and provide customers with deeper inventory insights. We value problem-solving, innovation, and continuous learning, and we encourage exploring new technologies to advance our machine learning capabilities. What you'll do Develop solutions for advanced computer vision tasks, including: Monocular and stereo depth estimation Learning-based structure-from-motion 3D occupancy networks Scene understanding Object detection Optimize performance, accuracy, and speed of compute-constrained models Collaborate across teams to deploy CV/ML models into production Improve ML pipelines and infrastructure for dataset management, training, and deployment Participate in R&D initiatives (20% of time) to experiment with state-of-the-art techniques Drive business value by leveraging your work across robotics, software, and deployment teams This role is in-person hybrid in Mountain View, CA. US work authorization is preferred but not required, can sponsor visas. Must have 5+ years of industry experience in Computer Vision / Machine Learning, Python/PyTorch Expertise in 2D and 3D computer vision techniques Proficiency with Linux, Git, AWS/GCP, and CI/CD workflows Experience in performance engineering for deep neural networks (both training and inference) Knowledge of model optimization techniques for embedded systems, including knowledge distillation, model quantization, and network pruning Adaptive and desire to assume responsibility in a fast-paced startup environment Nice to have Experience with C/C++ Familiarity with ROS (Robot Operating System) Knowledge of model deployment frameworks (e.g., TensorRT, RKNN, OpenVINO, ONNX, CoreML) Experience with TypeScript/JavaScript and Django Experience with data labelers, tooling, and data management

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing ( eVTOL ) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning , and smart connectivity.   We are seeking a passionate and skilled Senior Staff Computer Vision Engineer to lead the development and deployment of high-performance, large-scale AI models. You will focus on optimizing model inference, implementing compression techniques (quantization, pruning, distillation), and ensuring efficient on-device deployment across GPU and custom AI accelerator platforms. Your work will directly enable the next generation of intelligent systems in autonomous driving and beyond.   Key Responsibilities: Optimize large-scale multimodal models for low-latency inference and efficient memory usage across diverse hardware platforms. Apply state-of-the-art model compression techniques, including quantization (e.g., INT8/FP16), pruning, and knowledge distillation. Develop and integrate custom inference kernels targeting GPU or custom AI accelerators. Build profiling tools and performance models to analyze bottlenecks and guide optimization strategies. Contribute to real-world deployment efforts in autonomous driving systems, including on-vehicle testing and iteration. Track the latest research in efficient ML inference and integrate relevant techniques into production pipelines. Minimum Requirements: Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field. Strong coding skills in C++ and Python with a focus on performance and scalability. Proficient in deploying deep learning models using TensorRT, ONNX Runtime, or TVM. Familiarity with CUDA programming and parallel computing principles. Solid understanding of model inference workflows and system-level performance tuning. Experience in quantization-aware training or post-training quantization. Effective communicator and collaborative team player. Preferred Qualifications: Hands-on experience with deploying vision-language or large multimodal models. Familiarity with low-precision inference (INT8/FP16), kernel fusion, and operator-level optimization. Experience in autonomous driving, robotics, or edge AI applications. Track record of open-source contributions or publications in ML/AI conferences (e.g., NeurIPS, ICML, CVPR). Background in system profiling, latency modeling, or compiler-level optimization.   What do we provide: A fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities   The base salary range for this full-time position is $244,140-$413,160, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.   We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

High Performance Computer Linux System Administrator- $10 K Sign-onThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE partner/customer office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Provide technology consulting to external customers and internal project teams. Responsible for providing technical support and/or leadership in the creation and delivery of technology solutions designed to meet customers’ business needs and, consequently, for understanding customers’ businesses. As trusted advisor create and maintain effective customer relationships so as to insure customer satisfaction. Maintain knowledge of leading edge technologies and industry/market domain knowledge. Actively contribute to the company’s solutions portfolio by providing information ranging from technical knowledge to methodologies based on experience gained from customer projects. Shape technical direction and technical strategies within the organization and for external customers. Accountable for consistent and significant chargeability levels (or expense relief for internal project teams) and for assisting in meeting or exceeding revenue and customer satisfaction goals. Contribute to organization’s profitability by generating and cultivating new business opportunities and by providing technical support for deal proposal development. Role Requires: Top Secret Clearance, TS/SCI preferred Security+ and Linux+ certification Role will be on-site at customer location in Stennis, MS Will require some on-call/weekend work HPC experience Management Level Definition: Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others. Responsibilities: Monitoring and maintaining system health on the HPC system(s) – compute, network and storage Reviewing, resolving and responding to client tickets Creating, monitoring and closing all support cases Maintaining availability reports for tracking SLA’s Planning, scheduling and completing monthly patch upgrades on all systems and 6-month kernel upgrades Maintaining the system security posture required by the client Assisting the client with app installations Troubleshooting and repairing hardware issues Tracking/documenting the hardware repairs as well as opening, tracking, closing part cases and returning replaced parts. Maintaining the on-call schedule to support our 365 24x7x2/4 contracts Assisting with hardware and system installation activities in new systems Education and Experience Required: 5+ years of Linux System Administration Experience Bachelor of Arts/Science or equivalent degree in computer science or related area of study; without a degree, three additional years of relevant professional experience (8+ years in total). CompTIA Security+ Certification Required CompTIA Linux+ Certification Required TS Clearance Required On-site 5 days a week with additional potential on-site with on-call work Experience with HPC is required Knowledge and Skills: Has sufficient depth and breadth of technical knowledge to design and scope multiple deliverables across a number of technologies as it pertains to HPC. Has demonstrated innovation and communication of new deliverables and offerings. Has led team in the delivery of multiple deliverables across multiple technologies. Ability to develop solutions that enhance the availability, performance, maintainability and agility of a particular customer's enterprise. Has contributed to the design and application of new tools. Ability to re-use existing experience to develop new solutions to take to market. Possesses an understanding, at a detailed level, of architectural dependencies of technologies in use in the customer's IT environment. Frequently uses product and application knowledge along with internals or architectural knowledge to develop solutions. A recognized expert in one or more technologies within own technical community and also at regional level. Holds a vendor or industry certification in at least one discipline area. Able to communicate with internal and external senior management confidently and demonstrate the professionalism of the job family. Ability to work in a multi- technology environment with the ability to diagnose complex technical problems to their root cause. In addition to troubleshooting skills and consulting skills, has ability to summarize prognosis and impact at practice lead level. Ability to adapt a consulting style appropriate to the situation and can identify up-sell opportunities. Be able to demonstrate a broad understanding of market dynamics, an industry area, commercial issues, and technical concerns whilst maintaining depth in core focus area. Ability to present within own area of expertise as part of technical Demos. Able to produce complete proposals for smaller engagements within own area of expertise. Demonstrates broad knowledge in other technical areas in order to properly manage complex integration efforts. Demonstrates application of technical expertise in successful engagements involving multiple disciplines. Able to independently complete solution implementation or application design deliverables. Additional Skills: Accountability, Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building {+ 5 more} What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates Job: Services Job Level: TCP_04"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 105,500 - 243,000 in MississippiThe listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

The Computer Systems Analyst is responsible for analyzing, evaluating, and maintaining computer systems and software applications. Provides technical support, troubleshoots issues, and ensures the proper functioning of computer hardware and software. Plays a crucial role in ensuring the efficiency and effectiveness of an organization's computer systems. This position is based in the Charleston, SC area and may require deployment to McMurdo Station, Antarctica, to perform work locally. The United Stated Antarctic Program requires all personnel deploying to Antarctica to pass a physical qualification (PQ), which typically involves a standard medical physical, dental examination, and bloodwork. Bonus Opportunity CNI is committed to recognizing and rewarding our employees’ hard work. As an incentive, team members who deploy and are in good standing may qualify for a monthly deployment bonus and a deployment completion bonus. These incentives reflect our appreciation for our employees’ dedication, expertise, and contributions to the mission in a remote environment. In addition, employees may receive a performance-based bonus upon completion of their deployment. Chickasaw Nation Industries, Inc. serves as a holding company with multiple subsidiaries engaged in several lines of business (Technology, Infrastructure & Engineering, Health, Manufacturing, Public Safety, Consulting, and Transportation) for the federal government and commercial enterprises. A portion of our profits is used to support Chickasaw citizens. We are proud to support the economic development and long-term viability of the Chickasaw Nation and its people. CNI offers premium benefits eligible on the first day of hire to full time employees; (Medical - Dental – Vision), Company Life Insurance, Short-Term and Long-Term Disability Insurance, 401(K) Immediate Vesting, Professional Development Assistance, Legal Aid Assistance Program, Family Planning / Fertility Assistance, Personal Time Off, and Observance of Federal Holidays. As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act. ESSENTIAL REQUIREMENTS Must be able to obtain and maintain the required customer clearance for access to systems, facilities, equipment and property. Must hold and maintain a valid Security+ certification. Must obtain an OS certificate within six (6) months. Must be able to perform job duties in extreme, cold, dark, work environments. Required to Physically Qualify (PQ) in accordance with the USAP requirements for deployment to Antarctica. Must pass medical and dental examination prior to deployment; expenses are reimbursable. Broad knowledge of data sources, data flow, systems interactions, advanced computer equipment and software applications, and advanced systems design techniques. Proficient knowledge and understanding of a variety of concepts, practices and procedures related to computer systems and applications. Ability to analyze and develop complex design objectives. Proven ability to perform in an advisory capacity and to make recommendations for resolving issues. Excellent computer skills with demonstrated proficiency in Microsoft Windows/Office. Solid analytical, critical thinking and problem-solving skills. Excellent verbal and written communication skills. Excellent customer service skills. Ability to work both independently and in a team environment. Ability to effectively manage multiple projects and priorities. KEY DUTIES AND RESPONSIBILITIES Essential Duties and responsibilities include the following. Other duties may be assigned. Conducts analysis and evaluation of computer systems and software applications. Provides technical support and troubleshooting for complex computer systems and software. Installs, configures, and maintains computer hardware and software. Collaborates with team members to identify and resolve technical issues. Develops and updates system configurations and procedures. Participates in testing and quality assurance activities. Provides user training and support. Assists in the development and implementation of system enhancements and upgrades. EDUCATION AND EXPERIENCE Computer Systems Analyst High school diploma or GED and a minimum of one (1) year of experience with computerized systems, including installation, testing, repair, and troubleshooting of standalone computers, networked computers, printers, and other computer peripherals; as well as software installation and configuration. Providing technical, operational, and training support to users either by telephone or on-site for computer desktop hardware and software packages. Computer Systems Analyst II High School diploma or GED and a minimum of three (3) years of experience with computerized systems, including testing and evaluation, network protocols, LAN administration fundamentals, and UNIX- and Windows-based operating systems. Computer Systems Analyst III High school diploma or GED and a minimum of five (5) years of computerized system experience, to include test and evaluation, network protocols, LAN administration fundamentals, and UNIX- and Windows-based operating systems. PHYSICAL DEMANDS Work is primarily performed in an office environment. Regularly required to sit. Regularly required use hands to finger, handle, or feel, reach with hands and arms to handle objects and operate tools, computer, and/or controls. Required to speak and hear. Occasionally required to stand, walk and stoop, kneel, crouch, or crawl. Must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. Exposed to general office noise with computers printers and light traffic. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. EOE including Disability/Vet *Please note, that this position is contingent upon the award or funding. The essential duties, experience, education requirements, and salary are subject to change. CNI offers a comprehensive benefits package that includes: Medical Dental Vision 401(k) Family Planning/Fertility Assistance STD/LTD/Basic Life/AD&D Legal-Aid Program Employee Assistance Program (EAP) Paid Time Off (PTO) – (11) Federal Holidays Training and Development Opportunities Your application submission will be considered for all potential employment opportunities with Chickasaw Nation Industries (CNI).

D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning more than 80 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients’ financial well-being, we also work to strengthen local communities—and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report. Summary/Function: Use knowledge and skills obtained through education and job experience to continuously support users from multiple business groups within DA Davidson. The position will adhere to ITIL principals and be responsible for the resolution and/or escalation of various hardware and software issues, both in-person and remotely. Requirements/Qualifications: * Working knowledge of a Service Desk including ticketing systems, phone system, supporting business applications, workflows and processes * Proficient knowledge of basic computer hardware * Bachelor’s degree in field of specialty or equivalent IT Support experience * Proficient computer skills and knowledge of software packages and their applications to include Microsoft Office and Microsoft operating systems * Excellent communication skills, both oral and written; ability to communicate technical directions, both in person and over the phone to people with a wide variety of technical expertise * Excellent customer service skills; ability to work successfully with a variety of personalities and various management levels * Familiar with department policies, processes and procedures * Consistently treat others with respect and maintain professional attitude and behavior * Ability to work a variety of shifts * Ability to safely lift and carry as much as 35 pounds * Experience working in a team-oriented, collaborative environment * Highly self-motivated and self-directed * Organized and detail oriented * Ability to work in a fast-paced, regulatory, and time sensitive environment * Ability to triage and identify when escalation is necessary * Problem solving skills and critical thinking * Maintain or ability to obtain ITIL foundation certification within 1 year of start date Duties: * Respond, resolve, and escalate incidents or requests, both in person and over the phone, in a timely manner * Attain performance goals set by management for resolving incidents and requests. * Be logged into the support queue defined hours; provide escalation support and satisfactory customer service * Troubleshoot and assist D.A. Davidson Companies’ employees with using their computer and computer peripherals, applications and security credentials * Evaluate workload and capacity of computers and computer system to determine feasibility of expanding or enhancing capabilities or performance; recommend improvements to IT management * Assist in the support of business applications to include but not limited to: patching, testing, software licensing tracking, installing, upgrading, receiving application training, attending internal and external meetings, providing end user training, monitoring application performance, working with vendor support and sales, budgeting and creating documentation to end users and IT staff * Assist in the support of computer life-cycle and office technology to include but not limited to: patching, imaging, deploying, transferring user profiles, evaluating, securing, receiving training on computer O/S and hardware, maintain inventory, manage printer support agreements, work with vendor support and sales, provide documentation to end users and IT staff and help resolve incidents with computer related to the O/S, core applications or hardware that has been escalated from the Service Desk * Work with management to improve personal technical proficiency, support and customer service skills; identify and complete technical training and certifications; develop other work or career goals where progress can be tracked and discussed * Learn and adhere to all D. A. Davidson Companies’ policies and procedures; attend scheduled meetings or training sessions around existing or new policies and/or procedures; recommend change to IT procedures to improve productivity and/or reduce costs * Adhere to and educate users of our defined cybersecurity best practices, which include credential management, phishing and malicious vigilance, and physical security measures. * Manage time to adhere to SLAs while maintaining service excellence * Use ITSM tools and ticketing systems for tracking and contributing to a shared knowledge base * Utilize ITIL best practices * Use and improve upon existing tools, services, and procedures * Other duties as assigned What we offer: Competitive salary plus excellent benefits and perks including, but not limited to: * Medical, Dental and Vision * Company 401(k)and ESOP contribution * Generous sick, vacation, and maternity/parental leave * Paid holidays * Professional Development Opportunities * Tuition Reimbursement ($15,000 lifetime cap) * Charitable gift-matching program * Davidson Day of Giving – Our tradition of positively impacting communities in which we live and work. The potential base pay hiring range for this role is $ 22.50 - $ 28.50 per hour. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate. This role is eligible to participate in applicable D.A. Davidson variable compensation programs. D.A. Davidson has been in business for 90 years! As an employee-owned company, our success is driven by our high standards of business ethics, integrity and the belief that our Associates are our most important assets. We hope you will consider joining us! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. At D.A. Davidson, we are committed to fostering a diverse environment that supports the development and inclusivity of all employees. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. ACKNOWLEDGMENT Please answer all questions carefully. By submitting this application for employment, I certify that all of the above information is true and complete and I understand that any falsification or omission of information made by me may disqualify me from further consideration for employment or, if hired, may result in my termination of my employment at any time during the period of my employment, regardless of the amount of time that has passed. California applicants, please see D.A. Davidson’s California Resident Privacy Policy .

Rylo is a powerful camera that captures everything around you and creates exceptionally smooth, beautiful video that's easy to share. Developed by a team of former Instagram and Apple engineers, Rylo’s breakthrough stabilization software and smartphone app eliminate the traditional pain points of shooting, editing, and sharing videos. With Rylo, you don’t have to worry about framing your shot or holding the camera steady to capture a video you’re proud to share — simply hit record and make the perfect video after-the-fact. See Rylo in action At Rylo you'll be working in a small team that's building and shipping new consumer focused camera technology. You'll have a unique opportunity to drive software innovation and influence the hardware design to enable novel computational photography paradigms. What we are looking for: Demonstrated ability to research, design and implement graphic techniques. This includes features like post effects (Depth of Field, etc.), physically based optical effects, occlusion and global illumination. Experience optimizing shaders for texture bandwidth, fill rate and ALU. Experience debugging and profiling with tools like Razer and Renderdoc. Experience working on render architecture with modern graphics APIs (Vulkan, Metal, D3D12), extra credit if the engine was multithreaded. Solid knowledge of color theory. 7+ years writing production code. Deep knowledge of C++, C++11, design patterns. Mobile platform focus. Nice to have: Experience writing cross platform code. Experience designing for multi-threaded architectures. Experience with optimization and profiling (Intel TBB, OpenMP or equivalent). Familiarity with graph-based architecture. Familiarity with design of high-level APIs. Experience in profiling, debugging and testing complex systems. Familiarity with 3D data structures and formats. Familiarity with GPU computing APIs. Why Rylo: We’re backed by Accel, Sequoia and Icon Ventures You’ll work with and learn from a highly cross-functional engineering team. Spanning software across the full stack: backend, frontend, iOS, Android, desktop, and embedded systems. Just a year and a half after founding Rylo, we shipped our first camera on time and with a team of only 18. We love what we do and work hard to do it. Since launching in November 2017, we’ve expanded distribution to some of the top retailers, such as Amazon and Best Buy. We value: ownership, a thoughtful approach to problem solving, transparency, candor, and a willingness to learn and teach. You’ll help us build the future of cameras so that anyone can easily capture, edit, and share their favorite memories with the world. Benefits and perks: Your very own Rylo camera on your first day! Join our team lunches, happy hours, and off-sites Meaningful equity Flexible work schedule Medical, dental, and vision insurance Easy access to snacks and drinks