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What You Will Do: As a Cryptologic Computer Scientist, Level 3 at Independent Software, you will bring advanced computer science and software engineering expertise to some of the nation’s most complex technical challenges. We are a mission-first company where talented engineers are empowered to own their work, innovate with autonomy, and directly support national security outcomes. If you are looking for a role where your technical contributions drive real impact within a collaborative, high-performing team, this is the place for you.In this role, you'll work at the intersection of software development, data science, and mission analytics. You will support a senior Data Science lead in designing and building analytics platforms, developing tools to process and model large datasets, and creating scalable solutions that support national security efforts. Your experience in data-driven systems, algorithm development, and analytic pipelines will be key in enabling advanced cryptologic and cybersecurity missions.You will apply a scientific and mission-focused approach to design, develop, and deliver solutions in areas such as forensics, attack attribution, critical network protection, and penetration testing. Your work will enable state-of-the-art cryptologic and cybersecurity missions, providing the tools and techniques necessary to protect critical systems and uncover adversary tactics. Key Responsibilities: Collaborate closely with a Data Science Lead to build and support advanced analytics pipelines and data models Design, develop, deliver, and operate solutions to complex cryptologic computer science problems Apply s oftware engineering best practices to mission-driven data science challenges Develop scalable, secure, and mission-aligned tools that support complex analytic systems Perform advanced tasks in forensics, attack attribution, network protection, warning indicators, penetration testing, and knowledge discovery Conduct analysis, modeling, simulation, and reverse engineering to inform mission outcomes Work with large-scale structured and unstructured datasets to uncover insights that support national security missions Required Skills and Qualifications: Expertise in operating systems, algorithm analysis and design, programming languages, and data structures Strong software engineering and development skills, particularly for data-driven or analytics-focused systems Significant experience with data science , including data wrangling, machine learning, modeling, and analytic tool development Knowledge of compiler theory, computer architecture, database theory, and discrete mathematics Experience solving problems involving modeling, simulation, reverse engineering, or hardware/software development Ability to work independently and collaboratively in a mission-driven environment Education and Experience: Candidates must meet one of the following: Doctoral degree plus 4 years of relevant experience Master’s degree plus 6 years of relevant experience Bachelor’s degree plus 8 years of relevant experience Associate degree plus 10 years of relevant experience Additional requirements: Degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or closely related field Must include at least one programming course and four upper-level math courses (Calculus level or higher) Relevant experience must include at least one of the following: Theoretical or applied computer science Modeling or simulation development Algorithm analysis, design, or evaluation Reverse engineering Design, development, or evaluation of computer or information systems (software or hardware) Clearance Requirement: Must possess an active TS/SCI with appropriate Polygraph to be considered for this role Why Choose Independent Software? At Independent Software, our people are the mission. We’ve built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive.When you join us, you will: Support critical national security missions that matter Be part of a close-knit, employee-first culture where your voice is heard Expand your skills through ongoing training, mentorship, and career development Enjoy competitive compensation, generous benefits, and work-life balance Ready to take the next step in your career? Join us and be part of something bigger.Apply today. We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Powered by JazzHR

Company Overview NerdsToGo is a cool, fast-growing brand that provides computer solutions to residential consumers and small businesses. We service every type of technology from computers, phones, tablets and printers to networks, internet connections, security and much more! Job Summary The Nerd will complete desktop configurations, installations and upgrades of personal computer hardware and software, perform technology audits, provide software and operating system support on Mac and all versions of Windows, and offer proactive remote monitoring on business systems. The Nerd must have a strong field service background and customer service skills. Nerds must have solid technical skills, good communication skills and the desire to be a part of growing and exciting team. Responsibilities Onsite computer solutions for Windows-based PCs and Apple computers Offer solutions such as hardware upgrades and remote monitoring to Residential customers and Business customers Network installation and maintenance (wired, wireless, LAN, WAN) Data recovery and loss prevention Virus protection and Spyware/Adware removal Computer security enhancement PC Hardware and software fault isolation and repair System repair and upgrades Software upgrade and installation One-on-one training Qualifications 2-5 years of experience with Windows-based PCs (Win7, Win8, Win10) and networking in both residential and business environments Strong knowledge of PC troubleshooting and repair, both hardware and software/OS Knowledge of network troubleshooting, wiring, PC troubleshooting (ex. Network+, MCSE, etc.) Proficiency with peer-to-peer and client/server network configurations and troubleshooting Professional, high-energy, customer-oriented work ethic Valid driver’s license and a clean driving record Must be willing to submit to mandatory background check Benefits/Perks Great culture Access to fully branded Nerd Van Opportunity to be a part of a growing brand! Compensation: $13.00 - $15.00 per hour IT SERVICE PROFESSIONALS NerdsToGo is dedicated to providing customers with fast, friendly, and knowledgeable Computer Service and Technology Solutions for a variety of devices. Our professional “Nerds” can help fix your Apple, Android, or Microsoft product, from cracked iPhones to slow or unresponsive laptops and everything in between. JOIN OUR TEAM AT NERDSTOGO At NerdsToGo, our technicians don’t just "go to work." Our business model has created a culture of excellence where Nerds are given the opportunity to grow and profit from their skills, while offering a high-standard of professional service to each and every one of our many loyal customers. If you are ready for an opportunity to do what you love doing, have fun, and be part of one of the fastest growing companies in the industry, you’ve come to the right place. NOW HIRING! We’re growing fast, so we’re looking for skilled applicants to fill positions throughout the country. If computers, smartphones, and tablets "speak to" you, or if you’re looking to expand your talents and start helping others with their IT problems, NerdsToGo may be the right fit for you. This franchise is independently owned and operated by a franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of this franchisee. All inquiries about employment at this franchisee should be made directly to the franchise location, and not to Nerds To Go Corporate.

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding  cutting-edge  technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.   MORSE is seeking Human Computer Interaction Engineer Co-ops to conduct user research, design, prototype, and evaluate systems under development. As a Human Computer Interaction Engineer, you will assist in design efforts for novel, cutting edge mobile, web, and software applications in artificial intelligence, machine learning, test & evaluation, and aerospace. You may also do front end software development, Many of the systems we develop are the first of their kind and are highly specialized for the military personnel who use them. We strongly believe that user-centered design is the only methodology to properly develop these systems. This role will require superior communication and presentation skills. This person will be expected to conduct user research exercises to gain domain knowledge/insights and evaluate prototypes. This person must also be able to convey ideas/concepts to the rest of the development team and to stakeholders. This role requires a design background in some shape or form: either formal training or experience designing applications. Also, the ability to convey ideas visually through sketches, prototypes, or adobe tools is a necessity. Finally, this position requires candidates to have software development skills. Being able to implement designs (in code) is highly desired for this position. RESPONSIBILITIES: Collaborate with cross-functional teams to define and design user experiences for Mobile, Desktop, and Web applications Design and development of software applications and software implementation of user interaction/experience designs Conduct user research exercises to gain domain knowledge/insights and  evaluate prototypes Design, prototype, and evaluate novel data visualizations REQUIREMENTS: US Citizenship required and ability to obtain a US Security Clearance. Working towards a BS or BA degree in Information Design, Human Computer Interaction, Computer Science, Data Science, Engineering, or related subject An Interest in User Interface (UI) Design, User Experience (UX Design), Human-Machine Teaming, Human-AI Teaming, Human Computer Interaction, and/or Human Factors Experience conducting user research and understanding of various methods to perform such studies Working knowledge of one or more programming languages (Python, JavaScript, or React are preferred)  Experience designing and prototyping software applications Visual design experience Exemplary communication skills (move higher) presenting to internal teams Self-starter and driven   The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for its employees. This co-op position is located at our Headquarters Office in Kendall Square, Cambridge, MA. For more information, please visit  www.morsecorp.com  

At Aldevron, we shape the future of medicine by advancing science in meaningful ways. Our team of dedicated, forward-thinking associates share this goal by combining best-in-class products and service with the ideal operating environment to lay the groundwork for vital new discoveries worldwide. We believe people are our most valuable asset . Whether this is your first step on a rewarding career path or are a seasoned professional ready to take your career to the next level, we hire the best from all backgrounds and experiences. Aldevron is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health. Summer Internship Program The program is a 12-week paid internship immersive experience that provides functional learning working on robust and challenging project work , Executive and Senior leadership engagement, and exposure to Danaher Business System fundamentals. The program culminates with a report-out presentation to leaders from the organization. After successful completion of the program, interns will be considered to return as a full-time associate upon graduation. The essential requirements of the job include: Currently pursuing a bachelor’s degree in computer science or a closely related field (preferred Junior/Senior year equivalent). Ability to communicate technical information to non-technical audiences. Ability to a ssist in the delivery of Power BI reports and in scripts development for automated testing. It would be a plus if you also possess previous experience in: Power BI: Power Query, modeling, reports, and dashboards. Node.js or C# development. The hourly range for this role is $30.00. This is the rate that we in good faith believe is the rate of compensation for this role at the time of this posting. When you join us, you’ll also be joining Danaher’s global organization, where 80,000 people wake up every day determined to help our customers win. As an associate, you’ll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful Danaher Business System tools and the stability of a tested organization. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve . Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here . We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@danaher.com to request accommodation. If you’ve ever wondered what’s within you, there’s no better time to find out. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com .

Prime Time Consulting, a GRVTY Company, provides clients with expert intelligence analysis services. Our clients include defense contractors, industrial and service corporations, and departments and agencies of the U.S. Federal Government. Computer Network Defense Analyst We are actively searching for Computer Network Defense Analysts (CNDAs), located in Alaska, to support our team. We have varying levels of CNDAs, depending on years of experience and education. Duties Conduct computer network defense. Conduct target development for use or decision by Government personnel. Analyze and produce intelligence information. Conduct computer/network security to provide advice to the Government. Create and maintain documentation of their analysis. Ensure to routinely follow oversight and compliance Acquire/share job knowledge/skill Partner with team members on the contract, including government personnel and other partner companies Qualifications Degree in Computer Science or equivalent technical field Level 1 - 6 years of experience can replace 2 years of experience with AA degree Level 2 - 9 years of experience can replace 4 years of experience with BS degree Level 3 - 12 years of experience can replace up to 6 years of experience with MS degree Level 4 - 15 years of experience can replace up to 9 years with Doctorate degree Strong communication skills Works well in a team and alone Working knowledge of Microsoft Office Suite Company Perks Health Savings Account with company contribution Annual Paid Time Off and Paid Holidays Paid Parental Leave 401k with generous company match Training and Development Opportunities Award Programs Variety of Company Sponsored Events Prime Time Consulting, a GRVTY Company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email [email protected] with requested details. A member of the HR team will respond to your request within 2 business days. Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities. 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.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Career Programs Job Sub Function: Post Doc - Data Analytics & Computational Sciences Job Category: Career Program All Job Posting Locations: New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine (JJIM), a Johnson & Johnson company, is recruiting for a Postdoctoral Researcher to be located at our office in either New Brunswick, NJ; Raritan, NJ; Titusville, NJ, or Spring House, PA. Remote work options within the US may be considered on a case-by-case basis and if approved by the Company. This is an exceptional opportunity to apply Radiology AI/ML to oncology research, with the potential to significantly influence the development of novel cancer therapies. The successful candidate will work closely with interdisciplinary teams at Interventional Oncology within JJIM to design, develop, and validate models leveraging unique real-world imaging datasets with comprehensive clinical data enriched with expert annotations. The ideal candidate will have hands-on experience across the full lifecycle of Radiology AI/ML development with clinically meaningful applications such as disease characterization and outcome prediction. Preferred experience includes applying Radiology AI/ML in clinical settings and exposure to oncology, particularly solid tumors such as lung cancer. Key Responsibilities: Conceive, develop, and implement analytics and AI/Machine learning radiology solutions to high-priority scientific problems Participate in cross-functional collaborations with external companies and internal scientific, clinical, and data science teams Shape internal/external collaborations and define the scope of research questions Extract insight from complex, unstructured radiology image or other imaging modalities data to enhance decision making in clinical development of cancer therapy (e.g., tumor characterization, outcome prediction, etc.) Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making Qualifications Ph.D. degree in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics, electrical engineering, or similar), or closely related field, completed within the past 3 years, or to be completed within the next 6 months. Proficiency in radiology imaging modalities such as CT, PET, MRI, etc. Demonstrated experience driving research in and applying Computer Vision techniques, such as Foundation models, Transformers, CNNs, Diffusion models, RNNs, GANs, and radiomics. Extensive experience with traditional Computer Vision applications, such as OpenCV, object detection, edge detection, image segmentation Extensive hands-on experience with medical imaging modalities and formats (e.g., DICOM, nrrd, nifti) and collaborating with subject matter experts. Proficiency with one or more programming languages such as Python or C++ Strong publication record and ability to effectively communicate technical work to a wide audience Preferred Qualifications: Experience applying Radiology AI/ML in clinical settings. Exposure to oncology, preferably solid tumors such as lung cancer. Hands-on technical data analysis, cloud computing (AWS, Azure), dockerization. Familiarity with and exposure to drug discovery and clinical development processes Experience working closely with healthcare professionals Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $77,000 to $108,000. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #JNJPostDoc-DS #LI-Remote Required Skills: Preferred Skills:

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale’s robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting-edge research and development in real-time and offline 2D and 3D algorithms. The successful candidate will be a hands-on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production-ready systems that power our next-generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full-body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high-performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video-based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams. Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross-Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master’s degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation. 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. ​​Building real-time and batch ML systems that analyze structured and unstructured signals Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements Nice to haves: Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation. 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. ​​Building real-time and batch ML systems that analyze structured and unstructured signals Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $218,400 — $273,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Assistant Professor of Computer Engineering The University of Mary is seeking a full-time faculty position in Computer Engineering or Computer Science. Teaching and developing computer engineering courses and labs, securing funded research projects, developing industry contacts, serving on committees, and participating in the ethical, moral, and leadership formation of our students are crucial aspects of this position as well as the ability to integrate and synthesize into the Computer Science and Engineering courses the broad-based liberal arts knowledge and values that comprise the core curriculum for all students at the university. All faculty are expected to demonstrate a willingness to support and advance the Christian, Catholic, and Benedictine mission and identity of the University of Mary (see https://www.umary.edu/about/mission-identity ). Responsibilities Include: Teaching undergraduate courses in the fields of general engineering and either computer engineering or computer science. Developing courses and curriculum Able to work on proposals for funded research Interacts positively and effectively with faculty, staff, and students to improve program operating practices and outcomes. Assumes a leadership role in setting goals for academic achievement, student recruitment, and student retention. Leads and supervises ongoing program improvements based on accreditation standards, program objectives, and university competencies. Qualifications and Requirements Include: Required: Master’s degree or Ph.D. in Computer Engineering, Computer Science, or Electrical Engineering with experience in computer science and computer engineering. Experience teaching a variety of lower and upper division Computer Science and Computer Engineering courses and labs is preferred Experience teaching courses relating to the liberal arts or teaching Computer Science at a liberal arts college is preferred. A Ph.D. in appropriate area is preferred, Masters required, no specific sub discipline is sought. Industry experience is considered favorable. Upholds and supports the Christian, Catholic, Benedictine mission of the University of Mary Supports the ongoing implementation of Ex Corde Ecclesiae , the apostolic constitution on Catholic colleges and universities Builds a culture of ready and earnest hospitality in the Hamm School of Engineering and throughout the university, in accord with Saint Benedict’s admonition that all be received as Christ Knowledge and Skills Teaching at the college level. Responsible for providing instruction on a wide range of computer science and engineering courses. Programming with C, C++, Bash shell scripting. Knowledge of the Linux Operating system is preferred. IOT, Embedded systems, microcontrollers, FPGA’s, and assembly language coding is preferred. Instruct students on how computers work, including the basic science and mathematics behind their operation and the hardware and the software built on those foundations. Teach how to write computer programs, algorithms and programming languages. Keep records of grades, grade papers, and perform other administrative duties as needed. Create projects designed to enhance lectures. Ability to guide and mentor students in engineering Ability to work closely with other faculty members Ability to serve on committees in the University and the Community The University of Mary is a private, Christian, Catholic, Benedictine university that welcomes students of all faiths and backgrounds. Infusing Benedictine values throughout the educational experience, Mary offers distinguished, professionally-focused academic programs enlivened by the liberal arts, global and civic service, robust internships, and mentoring by respected faculty. As one of the most affordable private universities in the nation, Mary offers exceptional educational value as well as outstanding scholarship and financial aid opportunities. The University of Mary is accredited by the Higher Learning Commission of the North Central Association. For more information on the University of Mary, please watch a short video by clicking on this link: https://youtu.be/Go37Hy6QrVs How to Apply: Qualified candidates are asked to provide; (1) Curriculum Vitae, (2) Cover Letter, (3) Teaching Portfolio, (4) Teaching Evaluations, (5) Transcripts from all colleges and universities attended, and (6) Three letters of recommendation. Please upload the requested materials and click “submit application”. Confidential letters of recommendation, transcripts, and anything larger than 5MB can be sent to employment@umary.edu . Review of application materials will begin immediately. Position will remain open until filled. Equal Opportunity Employer Powered by JazzHR

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.

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 in 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) 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.

Guides the work efforts of consultants and other team members, and mentors them in all areas of computer system compliance and validation. Develop and implement CSV and Data Integrity processes to ensure compliance with GxP, GAMP, OECD, and applicable regulations in conjunction with the operations counterpart. Responsible for providing input for maintaining the IT Master Inventory of Electronic Systems. Lead CSV projects, provide guidance to the business users and contractors/vendors. Coordinates, performs, and assists in the development of computerized system life cycle documentation and tasks to establish computerized systems that meet requirements. Perform various assessments (gap analysis, 21 CFR Part 11 assessment, GxP assessment, and Risk assessment), prepare user requirements, functional and configuration specifications, traceability matrix, test scripts, validation and data migration plans, IQ, OQ, PQ, and summary reports. Other validation documentation as needed. Be able to author, update/revise SOP and other documents, as needed. Assisting with issues, bugs, and deviations, adequate processing, and documentation. Gather, understand, and document business objectives. Coordination of testing activities within the team, reporting progress of testing, and the significance of unfavorable results. Perform periodic compliance assessments to maintain data integrity at the site. Create, support, and provide input into system administration and standard operating procedures (SOPs) to ensure adequate controls for maintaining the validated state. Coordinate and execute the training of Subject Matter Experts of electronic systems. Make recommendations for improvements in laboratory productivity and quality of data. Initiate and implement change control activities in accordance with current procedures. Work with MS&T leadership, IT leadership, and business units to enhance existing procedures to further the efficiencies of compliance execution. Participate in quality and process improvement initiatives and project teams. Contributes to the overall operations and to the achievements of department goals. Interact frequently with laboratory/manufacturing/IT/Quality facility staff to provide expertise on equipment/software validations. Address conditions/practices with appropriate personnel, report findings to QA and Operations Management.

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Duties: Provide knowledge and skill development in designing, troubleshooting and servicing computer equipment and software. Apply engineering methods for product analysis and research. Serve as lead developer of tier applications using Android (Java and Kotlin) as access technology for enterprise backend systems. Work with product owners, business analysts and product managers in defining and managing business/technical requirements. Lead the full SDLC process of Android application solutions, including, but not limited to Kotlin, Java, HTML5, JSON, XML and consuming RESTful web services. Lead the full SDLC process of web service- oriented backend solutions, including but not limited to Java, Spring frameworks, Mybatis, consuming SOAP with services, producing RESTful with services and SOA middleware. Lead the design of database objects in relational databases including but not limited to DB2, SQL Server, SQLite, and or Oracle. Evaluate emerging technologies considering cost, portability, compatibility, and usability. Provide technical guidance and support to oversee staff assigned to project, monitor system operations, guide installment teams to implement secure systems and use commercial and proprietary tools to verify that the company’s products perform according to the mathematical analysis to data under Agile Scrum methodology. Requirements: Bachelor’s degree in Computer Science, Computer Systems Engineering, Computational Systems Engineering or the foreign equivalent. Three years (36 months) of experience in Computer Systems Engineering, Software Development, or a related occupation. Experience must include experience with Android Mobile Systems and Android Application Development. Must have experience with each of the following programs and databases: Kotlin; Java, C#; DB2; SQL Server; SQLite; and Oracle. Less than 10% domestic travel required annually. Work Location: Stillwater OK 74075. 40hrs/week. 40hrs/week. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general .

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 . Transforming Lives The University of Miami is among the top research universities and academic medical centers in the nation, and one of the largest private employers in South Florida. With more than 16,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the globe. The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service. The Department of Computer Science in the College of Arts and Sciences, University of Miami, is soliciting applications for individuals interested in possible part-time teaching positions during the academic year (maximum two courses or their equivalent in a semester). Duties will include teaching Computer Science courses at the undergraduate level, and a minimum of three hours per week of office hours per course (laboratory, discussion section) to meet with students.Minimum qualifications include Masters degree in computer science or closely related field. Applications will be reviewed as received, and this pool will remain open throughout the academic year. An appointment / offer is contingent upon student demand (enrollments) and available funding, with the possibility that final confirmation will not be available until classes begin. Interested candidates should apply via the Faculty Career Opportunities website (https://umiami.wd1.myworkdayjobs.com/UMFaculty) and include their CV along with a cover letter indicating particular areas of expertise and experience. 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: Part time Employee Type: Faculty-Intermittent (Seasonal) Pay Grade: 50

Description DecisiveInstincts, LLC, is a joint venture (ActioNet and Akamai Intelligence) is seeking a Computer Systems Analyst to monitor, maintain, and support IT systems in a secure, mission-critical environment. The administrator will troubleshoot operating system and network issues, assist with system updates and configuration management, and ensure systems are compliant with IT security standards. This role requires strong analytical skills, attention to detail, and the ability to document processes and standard procedures. Roles and Responsibilities: Monitor and maintain system performance and availability across servers and networks. Analyze and troubleshoot operating system and network issues to minimize downtime. Assist in system patching, updates, and configuration management to maintain security posture. Support system integration, software testing, and deployment activities . Document system processes, workflows, and standard operating procedures . Coordinate with IT security teams to ensure compliance, hardening, and risk mitigation. Collaborate with cross-functional teams to support system upgrades, enhancements, and troubleshooting . Education & Experience Requirements: Bachelor’s degree in Information Technology, Computer Science, or related field preferred; Associate’s degree or equivalent experience acceptable . 3–5 years of experience in system administration, IT operations, or network support. Knowledge of Windows and/or Linux operating systems, networking fundamentals, and system monitoring tools . Active Secret Clearance required. Preferred Skills: Experience with system hardening, patch management, and IT security compliance . Familiarity with configuration management tools, virtualization, and cloud platforms . Strong problem-solving, communication, and documentation skills .

Description Saalex is seeking an Computer Operations Analyst (Entry Level) with On-the-job training provided in Point Mugu, CA. Saalex is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services. Position Type: Full-Time Salary: $27.68 hourly Work Location: Onsite. Essential Functions: The Computer Operations Analyst/Computer Operator III analyzes existing or proposed systems, designs data processing programs and related procedures to process data, and uses a multi-step process (i.e., system investigation, analysis, design, implementation, and maintenance) to bring new or changed systems to meet customer requirements. The employee will be responsible to perform the following functions/duties: Comply with computer operation policy, standards, and procedures Ensure general guidelines and technical standards are being met Interpret program requirements, audit auxiliary peripheral units to ascertain correctness of input data, and check condition and arrangement of tapes Coordinate inputs/data in support of meeting contractual requirements Compile programs for programmers Write minor operational programs Organize computer input and output of data Investigate and locate source of non-standard irregularities Analyze and recover program operations in complex error situations Provide support to investigate and troubleshoot problems in operational hardware and software and develop solutions for issues discovered Provide technical support to computer users and organize sequence of events in computer operation cycle Provide general maintenance and installation support of computer equipment Establish and maintain a filing system of databases for tracking and inventory of database information Provide direct customer interface to identify and support database requirements Design modifications to current interface to identify and support database requirements Develop, process, and submit data reports for technical presentations and meetings Other duties as assigned or required Other Responsibilities: Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to their job. Working Conditions: Work is performed in a typical office environment with no unusual hazards. Occasional lifting (up to 20 pounds), constant sitting while using the computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness are required. Travel to remote company work locations may be required. Requirements What we're Looking for: Basic knowledge of computer systems and Windows applications Strong problem-solving and communication skills Ability to work under deadlines and stay organized Proficiency with Microsoft Excel Previous IT exposure is helpful Education: Vocational/technical or military equivalent training beyond high school and a minimum of five years of experience are required for this position required. Clearance: Must be eligible to obtain a Secret clearance. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Wellness Resources Stock Option Plan Employee Discounts

Benefits: Microsoft Windows environment USB file transfer VPN Virtual Private Networks File Transfer Protocol Short Job Description: A client is looking for a Computer Operator Complete Description: · Tasks and assignments related to the management and operations of drawings for on-line games, second chance drawings, and special event drawings. Duties include, but are not limited to: Resolving hardware and software issues from minor software to complex system issues. Serves as the initial point of contact for OLG staff experiencing computer problems or in need of additional technology resources. · Monitors networked systems for security problems and investigates causes of any suspicious activity identified. · Serves as initial point of control to ensure personnel do not access the classified processing area without proper clearance. · Performs the Game Closing and IT draw operations, verifies closing of lottery games; validates winning numbers for draw games withdraws staff and auditors; updates and posts winning numbers to website and phone line; works with vendor to enable payments for local drawings; balances sales and liabilities data with the gaming system and create Back-Office System (BOS) reports; and updates new draw sales and liability records. · On a daily basis, processes and balances the of Internal Control System (ICS) financial reports against BOS reports. · Monitors the ICS and BOS performance during data entry and reporting any anomalies noted; communicates issues to systems and network engineers; and responds to BOS/ICS queries via email or telephone. · Updates the Multistate Lottery Association (MUSL) and Draw Reporting Systems with sales and winning numbers for multistate lottery games. Maintains contact with Draw Manager, Draw Auditor, and Lottery. · Assists Information Technology staff in providing basic computer and systems support to Gaming Systems vendors. Assists IT Specialists with- providing technical assistance and support for incoming queries and issues related to computer software and hardware. · Executes and monitors daily Data Warehousing program. · Conducts preliminary IT inquiries and issue tracking for users. · Maintains asset inventory for the Lottery IT department. · Assists the IT Specialist in installing and configuring computer software, installing computer hardware peripherals, including the setup of network printers, monitors and mobile devices, and provides assistance to the QA groups in UAT testing as assigned. · Perform other related duties as assigned Skills: · Extensive knowledge of the functions of various computer operating systems to monitor activities internal to the systems. Required · General knowledge of File Transfer Protocol (FTP) and Virtual Private Networks (VPN) in order to transfer data securely. Required · Knowledge of network file system and USB file transfer to transfer data from the internal control system to a thumb drive and then to the network file server. Required · Experience in information technology environment in Microsoft Windows environment. Required · Ability to effectively comprehend SOPs, reports, test scripts, and other related materials. Required · High School Diploma. Required Compensation: $30.00 - $40.00 per hour About Us AHU Technologies INC. is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues. AHU Technologies INC. was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.

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 . Open-Rank Tenure-Track/Tenured Faculty Positions in Electrical and Computer Engineering College of Engineering, University of Miami The Department of Electrical and Computer Engineering (ECE) at the University of Miami (Coral Gables, FL) invites nominations and applications for three open-rank, tenure-track faculty positions as part of a bold growth trajectory that will significantly expand the department’s impact and visibility. This search represents the first phase of a multi-phase hiring plan to be executed over the next three to four years. While applications are welcome at all ranks, the department is particularly interested in early and mid-career faculty who are ready to accelerate UM ECE’s growth with established research programs. We seek exceptional scholars in the following strategic thrust areas : AI-Powered Microchips and Systems (AI-powered microchips, AI-powered medical systems, edge intelligence, trustworthy and explainable AI) Robotics and Autonomous Systems (medical and surgical robotics, autonomous vehicles, drones, human–machine collaboration, assistive systems) Quantum and Nano Technologies (quantum communication, computing, sensing, nanoelectronics, emerging devices, energy-efficient systems) Cybersecurity and Cyber Physical Systems (hardware, software, and network security; AI for secure and resilient systems; privacy; secure sensing and control in critical infrastructures) Candidates with a PhD in Electrical Engineering, Computer Engineering, Computer Science, or other closely related engineering disciplines are encouraged to apply. About the College of Engineering and the University of Miami The College of Engineering (CoE) ( https://www.coe.miami.edu/ ) houses six departments, including ECE, and complements the Frost Institute of Data Science and Computing, the Miller School of Medicine, and other academic units. Faculty in ECE have extraordinary opportunities for collaboration across the university, including with the world-renowned Miller School of Medicine and the UHealth system, enabling transformative research in medical robotics, AI-driven healthcare systems, smart devices, and other life-changing technologies. Faculty will also have opportunities to collaborate with the Rosenstiel School of Marine, Atmospheric, and Earth Science (RSMAS), one of the nation’s top-ranked marine and atmospheric research schools, expanding the potential for innovation in areas such as sensing, climate, and ocean technologies. Joint appointments with other departments in the College and across the University are possible, and interdisciplinary work is strongly encouraged. The University of Miami is an R1 institution and proud member of the Association of American Universities (AAU). UM is considered among the top-tier institutions of higher education in the United States for its academic excellence, superior medical care, and cutting-edge research. We are also one of the largest private employers in Miami-Dade County, home to more than 13,400 faculty and staff from all over the world. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) we strive to create an environment where everyone contributes to making UM a great place to work. Miami: A City of Opportunity Located in Coral Gables, a picturesque oasis in the heart of Miami-Dade County, UM offers a unique setting to build a career. Miami is now the eighth largest metro area in the United States and Florida is the third largest state. With zero state income tax, cultural diversity, a tradition of entrepreneurship, and a vibrant climate, Miami is attracting a massive influx of wealth and talent from around the world. The city is rapidly emerging as a global technology hub in health tech, digital tech, clean tech, nano tech, fintech, digital transformation, and the internet of things. Faculty will have the opportunity to partner with this growing ecosystem of startups, established tech companies, and venture investors. Required Minimum Qualifications ​ A Ph.D. or equivalent terminal degree in Electrical Engineering, Computer Engineering or an engineering related field. Qualifications Competitive candidates will demonstrate: A strong record of research excellence and a record for high-impact funded research Commitment to teaching and mentoring at both undergraduate and graduate levels A collaborative spirit that embraces interdisciplinary work A willingness to expand disciplinary boundaries to address complex technical and societal grand challenges Exceptional consideration will be given to early and mid-career candidates who lead externally funded research programs and successfully mentor doctoral students, particularly those able to leverage existing teams and projects to build collaborations at UM. Application Process For full consideration, applicants should upload a single PDF file (max 5MB) containing: Cover letter (must clearly state research area and anticipated contributions at UM) Curriculum Vitae Research statement Teaching statement (including philosophy, experience, and if senior, concepts for new courses) Contact information for at least three references For full consideration, applications should be submitted by December 1, 2025. Review will begin immediately and continue until all positions are filled, with priority given to applications received by the deadline. Appointments are expected to begin in Fall 2026, although earlier start dates may be considered. If the file size is larger or you require assistance with uploading, please contact coesearch@miami.edu . If you have any questions, please feel free to contact the Chair of the Search Committee, Dr. Manohar Murthi ( mmurthi@miami.edu ) or the Department Chair, Dr. Pinhas Ben-Tzvi ( pbentzvi@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

Machine Learning Computer Vision MS/PhD Summer Internship Join STR’s Video & Image Understanding (VIU) Group as a summer intern to develop and apply deep learning or reinforcement learning techniques to solve challenging problems in computer vision, situational awareness and autonomous control. We tackle problems that have not been previously addressed by academic and industry research communities. The VIU Group is part of STR’s Intelligence Division, which develops and applies state-of-the-art information processing techniques to produce robust, scalable solutions for intelligence analysts and military decision makers. STR staff drive our success with their hard work, talent, and ingenuity. Join us this summer and help develop meaningful solutions to challenging, real-world problems which enhance our nation’s security. Job Description: You will work as part of a project team with focused mentorship from experienced staff. You will adapt, extend and optimize innovative machine learning algorithms for solving challenging computer vision or autonomy problems. You will collaborate with STR research engineers as well as academic researchers, who are often part of our team, to develop practical and powerful machine learning and computer vision solutions. You will have the opportunity to evaluate and optimize machine learning performance on relevant and practical data sets. Requirements: Enrollment in an MS or PhD degree program in Computer Science, Electrical Engineering, Applied Mathematics or related technical discipline. Successful track record of applying machine learning algorithms, such as deep learning or reinforcement learning, to computer vision or autonomy problems. Strong academic record and interest in research. Experience in scientific software development, particularly with Python. This position requires the ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government. Perks: Competitive pay Housing stipend Flexibility/work-life balance Vibrant community with fun summer activities inside and outside the office Intern seminars and tech talks Strong track record of interns returning for subsequent summers and future full-time employment. Pay Information Full-Time Salary Range: $89,000 - $112,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Saronic Technologies is a leader in revolutionizing defense autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations for the Department of Defense (DoD) through autonomous and intelligent platforms. Position Overview Saronic Technologies is seeking a Senior Electrical Engineer specializing in ruggedized computing and networking systems to join our Electrical Engineering – Advanced Development group. This role will focus on the research, evaluation, and development of robust onboard computing architectures, embedded systems, and high-reliability network solutions that power Saronic’s autonomous vessel platforms. The ideal candidate will have deep experience designing and validating ruggedized electronic systems for mission-critical applications, including embedded computing, network topologies, data management, and environmental hardening for commercial maritime and defense use cases. This position bridges R&D, systems engineering, and hands-on integration - supporting both technology evaluation and fleet deployment. Key Responsibilities Lead R&D initiatives in ruggedized computing and networking architectures for autonomous surface vessels. Design, evaluate, and integrate embedded computing systems, data acquisition units, and network infrastructures optimized for high performance in harsh marine environments. Conduct benchmarking and trade studies on ruggedized COTS and custom computing solutions (edge computers, network switches, routers, storage units, etc.). Develop and validate system architectures for high-availability networks supporting autonomy, sensing, and control subsystems. Collaborate with software, autonomy, and mechanical engineering teams to ensure reliable data throughput and system resilience across vessel networks. Specify and validate environmental and EMC/EMI compliance for computing and networking hardware. Prototype and test system configurations in laboratory and field conditions, including shock, vibration, temperature, and humidity testing. Author technical documentation, including R&D reports, trade studies, wiring diagrams, and integration standards. Mentor junior engineers and contribute to internal design guidelines for next-generation computing and network systems. Support system integration and troubleshooting during prototype builds, dockside commissioning, and sea trials. Required Qualifications B.S. or M.S. in Electrical Engineering, Computer Engineering, or related discipline. 7+ years of experience in electrical or systems engineering focused on computing and networking technologies in ruggedized or mission-critical environments. Expertise in embedded computing platforms, network design, and hardware integration. Experience with Ethernet, CAN, serial, and fiber-optic communication protocols and their implementation in distributed systems. Proven track record of benchmarking and trade study development for hardware performance and reliability. Familiarity with marine, aerospace, automotive or defense environmental standards (MIL-STD-810, MIL-STD-461, IEC 60945, etc.). Strong understanding of power distribution, grounding, and thermal management in dense electronics enclosures. Excellent communication skills and experience producing clear technical documentation and reports. Hands-on experience with system integration and environmental testing. Preferred Qualifications Experience developing or integrating ruggedized computing solutions for maritime or defense systems. Familiarity with network security, IEEE 1588/PTP Protocol, VLAN management, and deterministic networking for real-time systems. Knowledge of data logging, storage, and redundancy architectures in distributed sensor networks. Experience with hardware-in-the-loop (HITL) and hardware-software co-simulation environments. Background in autonomous or remote vehicle platforms. Understanding of cybersecurity standards and secure network design principles. Experience using 3D CAD tools to communicate with other engineering groups (e.g. Siemens NX, Creo, SolidWorks) Experience utilizing ECAD tools to define/draw single line diagrams and schematics (e.g. Altium, Zuken, AutoCAD, Siemens Capital) Benefits Medical Insurance: Comprehensive health insurance plans covering a range of services Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 100% of the premium for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan Stock Options: Equity options to give employees a stake in the company’s success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office Physical Requirements Prolonged periods of sitting at a desk and working on a computer. Occasional standing and walking within the office. Manual dexterity to operate a computer keyboard, mouse, and other office equipment. Visual acuity to read screens, documents, and reports. Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies. Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages). This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) . Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.