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Boston Materials produces advanced materials with enhanced energy transfer properties using its patented Z-axis Carbon Fiber technology. The Company's products solve critical performance bottlenecks in applications spanning thermal, electrical, and structural use cases. Its breakthrough Liquid Metal ZRT thermal interface material is designed for the most demanding AI Infrastructure. Boston Materials is committed to expanding high-volume manufacturing in the United States. For more information, visit https://www.bomaterials.com/ ABOUT THE OPPORTUNITY Not often in one's career do we get the chance to- Get close to the mission. Getting a real sense of what the business does and how our work directly affects the outcome. Where everyone is involved with the company's success. No layers, no silos, no bureaucracy. Just the opportunity to make the greatest impact with the most responsibility. Move faster. Adapting to changes in the market at record speed. No multi-layer signoffs and approvals. Instead, the latitude needed to get a new idea, product, or process off the ground quickly. Where we can experiment and test new ideas- and are encouraged to do so. We create solutions to problems that our customers truly care about, and we understand that customers won't wait for us to figure them out. Branch beyond the role. We're not defined by past experiences or confined by our current job description. Every day offers opportunities to have influence and be challenged with new projects and tasks. Working shoulder-to-shoulder with some of the top talent in the industry, we're able to showcase our talents, expand our knowledge, develop new skills, and take ownership and act. All while contributing to the overall success of the organization. Create critical solutions. Join us to solve the most critical challenges facing the Advanced Semiconductor, AI Infrastructure, and Advanced Materials industries. Opportunity knocks at Boston Materials. Will you answer the call? Your Role We are actively seeking a computer hardware engineer to work hands-on with advanced hardware systems such as GPUs, AI accelerators, and thermal test vehicles. This role will lead the testing and evaluation of thermal interface materials (TIMs), the core product line at Boston Materials. Typical activities include tearing down/modifying computer hardware, writing software (Python, CUDA, etc.) to control/interface with high-powered chips, and interpreting and processing data streams (primarily thermal) from PC cards, servers, and specialized hardware. You will play a large role in the assembly, operation, data collection, and overall system optimization for thermal stress tests. Your Responsibilities Teardown and modifications of electronics such as computers, laptops, GPU cards, AI accelerators, and thermal test vehicles. Hands-on work with mechanical assemblies, wiring, material testing, usage of general power tools. Conduct experiments and tests (such as overclocking and stress testing) on thermal interface materials to evaluate their performance and properties. Optimize data collection, processing, and analysis from testing equipment. Automate data collection wherever possible. Influence design and fabricate tooling/fixtures, incorporating CAD, 3D printing, milling/CNC, and waterjetting. Collaborate with cross-functional teams to improve material performance and manufacturing processes. Participate in design reviews and provide feedback on engineering designs. Help maintain laboratory equipment and ensure a safe working environment. Document all work according to company protocols and industry standards. Stay updated on the latest advancements in computer technology and thermal management. Your Skills and Expertise Experience with computer building, CPU/GPU hardware, or modifications of electronic assemblies. General coding proficiency (primarily Python). Experience with GPU coding or server-specific protocol is a plus. Proficiency in Linux and ARM platforms. Familiarity with thermal interface materials and their applications. Experience with laboratory testing and data analysis is a plus. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Good organizational skills and attention to detail. Knowledge of materials science and engineering principles. Summary of Benefits Health, Vision & Dental - Boston Materials pays 75% of Health, Vision and Dental Care coverage for employee and dependents 401(k) plan 4 weeks of supplemental Paid Parental and Family Leave Unlimited Paid Time Off Holidays: 14 days/year $100,000 - $120,000 a year Boston Materials is an EOE and at the forefront of materials innovation, the key to which is diverse teams with unique backgrounds and experiences. We are committed to employing a diverse workforce with equal employment opportunities regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, marital status, veteran status, or disability. Applicants must be currently authorized to work in the US on a full-time basis.

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision and deep learning team with researchers who have pushed the state of the art in academia and industry. We are looking for interns for our Summer program. As a Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products. If you have a strong foundation in math, theory, and software development and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you. How you'll make an impact: Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today Research, prototype, and generally assess the feasibility of new approaches Imagine and then implement new features that unlock magic for our users Characterize and quantify the performance of core components of the software and hardware stack What makes you a strong fit: High proficiency in C++ and/or Python and PyTorch Demonstrated enthusiasm for one or more of the following: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, and tools/infrastructure Solid software engineering foundation and a commitment to writing clean, well-architected code Ability to thrive in a fast-paced, collaborative, small team environment Compensation Range: The annual base salary range for this position is $47/hr for Undergrad and $53/hr for Graduate students * Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends. For some positions the pay may be dependent upon the individual's regional location. #LI-AY1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

Job Duties Use information collected from a variety of computer network defense resources (including, but not limited to, intrusion detection system alerts, firewall and network traffic logs, and host system logs) to identify, analyze, and report events that occur or might occur within their environment. Required Skills: US Citizens Only TS/SCI Clearance and Polygraph required Minimum of eight (8) years of experience and a Bachelor's degree; or Four (4) years of relevant experience and a Doctoral degree; or Six (6) years of relevant experience and a Master's degree; or Ten (10) years of relevant experience and an Associate's degree; or Ten (10) years of relevant experience and eighteen (18) semester hours of military coursework/training in networking, computer science, or cyber topics Degree must be in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security) Relevant experience must be in computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance and/or system engineering. Must have experience in network or system administration Compensation Range: $62,064.48 - $136,541.86

The USC Institute for Creative Technologies (ICT) is an Army-affiliated University Affiliated Research Center (UARC) that conducts groundbreaking research at the intersection of computer science, engineering, and human interaction. ICT brings together experts in artificial intelligence, virtual reality, simulation, immersive media, and human performance to advance the state of the art in training, education, health, and national security. Researchers at ICT collaborate across disciplines to design, develop, and evaluate cutting-edge technologies with real-world impact, often in partnership with the Department of Defense (DoD) and other government agencies. About the Role The Research Computer Scientist will serve as a key researcher and thought leader, conceptualizing, designing, and executing advanced technical research projects in support of the DoD. This role requires significant independence, innovation, and collaboration with stakeholders across the Government, with opportunities to contribute state-of-the-art technology, mentor PhD students and shape research that supports both academic and defense-related applications. This position may involve work on projects that require access to classified information. Key Responsibilities Conceive, plan, and drive highly specialized, basic and applied independent research projects in support of DoD mission priorities. Provide leadership and direction to collaborating researchers and students, including supervision of PhD thesis research. Develop research ideas, design experiments, and create algorithms, software, and/or hardware solutions to address complex computer science and engineering challenges. Analyze and interpret research data, author scholarly publications, and present findings to sponsors and the scientific community. Identify and evaluate data sources, emerging technologies, and methodologies relevant to specialized research areas. Apply scientific principles to plan, coordinate, and execute research objectives with significant judgment and innovation. Contribute to long-term research goals in collaboration with internal teams and external partners, including government sponsors. Preferred Knowledge, Skills, and Experience Strong knowledge of current and next-generation DoD simulation, training systems, and systems architecture. Strong knowledge of operational and intelligence platforms across the DoD. Experience working within or among DoD organizations, industry partners and academia Familiarity with Department of Defense (DoD) priorities and transformation initiativesoperations, including tactical and operational thinking. Experience with Augmented Reality (AR) and Virtual Reality (VR) technologies. Familiarity with defense requirements and acquisition protocols and processes. Demonstrated ability to stay current with rapidly evolving technologies. Proven experience building and leading teams, fostering collaboration, and mentoring researchers. Demonstrated ability to propose and obtain funding for projects Qualifications PhD in Computer Science, Engineering, or a related field.. Demonstrated record of scholarly publications and contributions to research. Ability to work independently while collaborating effectively with diverse teams and sponsors. Must have a current or be able to obtain and maintain a DoD Secret clearance. (or higher) security clearance. The annual base salary range for this position is $160,000 to $180,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. Why work at ICT: Work on exciting and engaging projects that have real-life impact. Small project team environment allows for involvement across entire project lifecycle. A quality work-life balance. Meet interesting people from all walks of life - technologists, social scientists, military, writers. Opportunities for free, top-tier university education for you and your children. Located in the heart of Silicon Beach. Great benefits - medical to matched retirement http://benefits.usc.edu/ Minimum Education: Doctorate Minimum Experience: Minimum Skills: Demonstrated record of outstanding research contributions and experience. Proven technical proficiency, exceptional creativity, successful collaboration with others, and independent thought. Strong managerial skills. Demonstrated reputation as an emerging leader in field with sustained performance and accomplishment. Demonstrated ability to conceptualize research directions, exert technical leadership, communicate technical ideas, coordinate individual contributions to a research program, and present research plans and results in a manner that will elicit favorable funding actions. Preferred Experience: 5 years Preferred Skills: Nationally recognized reputation for excellence in area of expertise. USC 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, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying. We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law. Notice of Non-discrimination Employment Equity Read USC's Clery Act Annual Security Report USC is a smoke-free environment Digital Accessibility If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser: https://wd5.myworkday.com/usc/d/inst/1$9925/9925$133496.htmld

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 Computer Vision Engineer who can proactively 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. Deeply understand the target hardware architecture and its processing constraints to fine‑tune algorithms, maximizing runtime efficiency and extracting every ounce of performance from the processor 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. Successful applicants generally have a minimum of 2+ years of related experience and may have a post‑secondary degree or training in a related discipline. Basic Qualifications: Skill Requirements: Expertise in Computer Vision fundamentals, theory and applications including image processing, feature detection & recognition, geometry based vision, camera modeling 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: Masters or PhD in Computer Vision, Computer Science, Aerospace Engineering or related field. Displayed expertise in light transport modeling, rendering engines, intrinsic and extrinsic camera calibrations, multi‑spectra effects, image filtering, frequency domain operations, image warping and transforms, N‑view reconstruction, direct and indirect methods, SLAM, relative pose estimation. Demonstrated experience in leading a team of technical engineers Experience with C++, MATLAB, Python, CUDA, and/or RUST Possess an active TS/SCI clearance 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

Be Transformational! Do you have a desire to work in an environment where you are helping others and changing lives? As an Instructor at TSTC, you can help improve the quality of many lives by sharing your experience and skills with our students. Launch your career with TSTC by connecting with our Talent Acquisition team by emailing us at talentsourcing@tstc.edu . What We Offer You: More than just a job but the start of a rewarding and fulfilling career Supportive environment where employee growth and success are promoted and celebrated Paid vacation, sick time & paid holidays, including an extended holiday break You will enjoy the stability of the State of Texas’ comprehensive health and retirement benefits, competitive wages, State of Texas employee discounts, and much, much more. Follow the links below for additional details: TSTC Benefits TSTC Retirement Plans Employee Discount Program Job Description: TSTC faculty deliver approved curriculum, content, and assessments in an applied learning environment. Responsibilities include facilitation of activities and discussions that engage a range of learning styles with targeted guidance and mentorship to students. Faculty will also interpret and administer assessments, and offer constructive feedback to support student growth and learning outcomes. A key part of the role is to integrate technology effectively to enrich the educational experiences. Faculty act as ambassadors for their programs and TSTC.The Target Hiring Range for the position is $ 68,400.91 - $78,661.05The final salary offer will be determined based on the candidate's qualifications and experience.Faculty will demonstrate TSTC Core values of Excellence, Accountability, Service and Integrity with internal and external stakeholders, customers, students and members of the community. INSTRUCTIONAL DELIVERY: Prepare and deliver high quality instruction and facilitate the learning of students. Develop appropriate course syllabi and instructional plans, and organize daily classes utilizing a variety of creative/innovative techniques. INSTRUCTIONAL MANAGEMENT: Fulfill assigned schedule, maintain accurate student records, maintain instructional environment with emphasis on safety, equipment security where applicable, and ensure opportunities for student/participant evaluation. STUDENT RETENTION AND PLACEMENT: Performs student advisement such that students are provided with timely, accurate, and comprehensive information. Collaborate with the Office of Student Success to ensure students receive current information on tutoring and other programs designed to increase retention. PROGRAM RECRUITMENT & PROMOTION: Participate in related tours and recruitment events. Assist in department/program planning for recruitment. TEAMWORK & SERVICE: Demonstrates a willingness to be of service and exhibits pleasant and courteous behavior toward customers (students, parents, employers, and media), organizational coworkers, and other general public contacts. Maintains flexibility, including availability for evening, weekend, or summer assignment, as appropriate; able to work effectively in a team environment; commitment to the mission, vision and values of the college. OTHER DUTIES AS ASSIGNED The core competencies for direct instructional delivery in an applied learning environment can be condensed into a few overarching categories: TEACHING & LEARNING: Deliver high quality instruction and facilitate the learning of students. Organize daily classes utilizing a variety of creative/innovative techniques.Tailor teaching methods to diverse learning styles and needs. MENTORSHIP & COACHING: Understanding and empathizing with student experiences. Providing personalized guidance and support. Articulating ideas clearly and fostering open communication. ASSESSMENT & FEEDBACK: Creating and utilizing assessments to provide constructive feedback and guide learning.Continually evaluating and improving teaching strategies. TECHNOLOGY INTEGRATION: Effectively using technology to enhance learning experiences. Required Skills, knowledge, and certifications or licenses • Networking concepts and protocols• Network design and configuration• Information Technology security Design and best practices• Network troubleshooting and monitoring• Network hardware and software• Virtualization or Cloud computing• Network programming or scripting• Proven ability to stay updated with the latest industry trends and technologies Preferred Skills, knowledge, and certifications or licenses • Proficiency configuring Cisco routers, switches, access points, and network appliances in a complex architecture• Architect, deploy and troubleshoot network operating system for Windows Client/Server and various Linux OS• Design, implement, and troubleshoot Microsoft Windows Server 2016-2022 Active Directory Domain Services, group policy management, backup and recovery, and updates• Working knowledge of VMware, AWS VPC, Azure Virtual Network or other enterprise virtualization platforms• Ability to create Python/Powershell/BASH scripts for automating system administration tasks• Demonstrated expertise in securing systems and networks, including experience with access control, vulnerability management, and incident response protocols• Active certifications in CompTIA (A+, Network+, Linux+, Security+, Server+), Cisco Certified Network Associate (CCNA), AWS Certified Cloud Solutions Practitioner/Architect, Microsoft Windows Server Hybrid Administrator Associate Education and Experience Required• Associate degree in a closely related field and demonstrated qualifications in the technology’s teaching discipline.• Verifiable professional experience may be accepted in lieu of other requirements as approved by the Vice Chancellor who oversees academic programs, or his/her designee.*Preferred• Bachelor’s degree in a closely related teaching discipline The Target Hiring Range for the position is $ 68,400.91 - $78,661.05The final salary offer will be determined based on the candidate's qualifications and experience. #LI-JR1 #LI-Onsite Equal Opportunity Employer Texas State Technical College (TSTC), as an equal opportunity employer, complies with all applicable federal and state laws regarding nondiscrimination. TSTC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Employment Eligibility Verification If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at TSTC. Background Checks A criminal history background check will be required for the finalist(s) under consideration for this position. After you complete your application, please send your transcripts to faculty.credentialing@tstc.edu.

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 . The Department of Computer Science in the College of Arts and Sciences at the University of Miami seeks applicants for a full-time faculty appointment in the area of Artificial Intelligence research, in theory or applications. The appointment will be at the rank of assistant professor (tenure-track) and will begin August 15, 2026. The ideal candidate will be able to develop/maintain an internationally recognized research program and teach classes at the undergraduate and graduate levels. Minimum qualifications include a Ph.D. in Computer Science or a related field by the start date of the appointment. Interested applicants must apply online through the University’s Careers Website ( careers.miami.edu ). Applicants should compile the following into a single PDF document and upload it under the CV/Resume link: cover letter, CV, research-teaching statement, and three representative papers. Please arrange for three reference letters to be sent directly to the department at christy.carrera@miami.edu . Applications received on or before December 15, 2025, will be given full consideration, though the search committee will continue to accept applications until the position is filled. For further information about the position, please contact search@cs.miami.edu . General information about the department can be found at cs.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

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Job Title : Intern, IT Computer Science - Cloud Center of Excellence Reporting To: Administrator, IT Early Career Prog Work Schedule: Hybrid – Buffalo, NY Our Cloud Center of Excellence team within our Corporate Group is seeking a full-time summer 2026 block intern. The intern will have an onsite work schedule in East Aurora, NY. To be considered for this role, here’s what you’ll need to bring with you: Enrolled in a n Information Technology; Computer Information Systems; System Administration; Cybersecurity; Software Development ; or other relevant Bachelor's or Master's Degree program, at an accredited university. GPA of at least 3.0 ; exact GPA requirement will be specified by department. This position requires access to U.S. export-controlled information. Ability to relocate for the duration of the internship. Students within the Moog U.S. Internship Program are expected to have a professional disposition, effective communication skills, a strong desire to learn, a positive attitude, and the ability to work in a team environment. In this role you will: Contribute to the preparation and execution of key information technology tasks at Moog. Provide technical support for Moog’s business departments. Work experience may include networking, software development, coding, and/or data analytics. Provide input on project processes, strategies, and execution. Operate as a multidisciplinary member of a team of creative, independent individuals. Represent Moog in a manner consistent with its technical and professional reputation. How we care for you: Work/Life Balance: Flexible paid time off, holidays, and relocation assistance Collaborative and Welcoming Workplace: Inclusive culture rooted in our values, enhanced by Employee Resource Groups, and team-building activities. Additional site-specific benefits may be offered Salary Range Transparency: Buffalo, NY $22.50–$28.00 Hourly Salary Range Disclaimer The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits. This position requires access to U.S. export-controlled information.EOE/AA Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran Moog is an Equal Opportunity Employer, and as such affirms the right of every person to participate in all aspects of employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at 844-367-5787. No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.

Computer Network OperatorJob Category: EngineeringTime Type: Full timeMinimum Clearance Required to Start: TS/SCI with PolygraphEmployee Type: RegularPercentage of Travel Required: NoneType of Travel: None* * * The Opportunity: If the idea of working with and among a team of true cyber security engineering experts with world class and unique skills excites you, then this might be the opportunity for you! Individuals with experience in or across a range of technical disciplines in IT and cybersecurity engineering possessing a strong desire to serve in a role delivering great mission impact fit in well with our team and find this role highly rewarding. Apply your skills and experience and continuously learn new things in an environment where research and experimentation are encouraged and valued . There is no substitute for applying your skills in a real-world cyber operations environment, solving incredibly challenging problems where often times a textbook answer does not exist. Creativity on top of a strong technical foundation and fundamental understanding of cyber engineering is paramount for success in this role. Be part of a department with an expanding range of programs focusing on Cyber Operations, where you get to grow on and between programs with peers who are dedicated to advancing national security. Participate in fun team outings and team building events where you get to engage with your co-workers and expand your career network. We are a fun, engaging environment with a management team focused on growing your career and making you a part of our future. We offer bonus compensation plans that demonstrate you being appreciated for working on the program and being a part of our team. You'll get paid for cyber events and training, such as our Capture the Flag Events, Internal Research and Development opportunities as well as prepaid courses to nationally recognized certification courses to grow your career. Learn more about our program here: VORPAL Jobs . Responsibilities: • You will work onsite with the client doing high-end and cutting edge cyber related work with small dynamic technical teams • You will open-source tools such Metasploit, BurpSuite, nmap and Wireshark as well as proprietary tools to perform red teaming and penetration testing of the client's global network • You will develop technical requirements for new tools or enhancements to existing tools and become the tools "champion" throughout the tool's life cycle • You will pro-actively identify, define, and advocate technical processes, approaches, and concepts to enhance/improve mission-focused efforts • You will write and produce high-quality technical reports related to the scope, nature, and characteristics of the client's technical objective that are suitable for dissemination to both technical and nontechnical audiences Qualifications (a strong combination but not necessarily all of the following) Qualifications : Required: • Active TS/SCI with required polygraph clearance • 7 years of more of technical experience in cybersecurity discipline, computer applications, information systems, engineering, mathematics, or related field • Understanding of computer network architectures • Well versed in firewall technologies, proxies, ipchains, iptables, SNORT, NMAP, Wireshark, etc. • Developmental knowledge of basic scripting with python (preferable), bash, perl, or Powershell • Experience with and ability to train others on advanced operational techniques • Understanding of telecom infrastructure and mobile and/or RF communications • Experience with risk assessment, mitigation strategies, and tradeoffs in the context of cybersecurity • Basic understanding of internet functionality, ISPs, and network traffic • Possess at least basic level of systems administration knowledge across operating systems (Linux, Windows, Android, iOS) • Demonstrated experience applying creative problem solving skills to solve hard technical challenges • Ability to convey highly technical information in a clear and concise manner, both verbally and written • Understanding of internet laws and regulations governing the internet • Hands-on experience executing cyber operations mission sets • Certification from government entities in cyber operations • Decision making – must have demonstrated experience using sound judgment in a high ops tempo environment, calm, level-headed, and rational • Must possess Apprentice level certifications: RIOT or FORGE. - ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . The proposed salary range for this position is: $113,200 - $237,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing effective instruction and assessment within the framework of common syllabi provided. *This is an ongoing applicant pool* *THIS IS AN IN PERSON POSITION* Pay Rate: $47.35 Where: Lake County Campuses (Crown Point, East Chicago, Gary) When: Day and Evening availability is preferred What is in it for you? - You and your family can take classes for free after teaching two terms, they do not need to be concurrent. - Flexibility What we want from you: Facilitates student learning by delivering assigned classes in accordance with College policy and course objectives Makes optimal use of available technology to enhance instructional methods Develops/maintains course outlines, syllabi, lesson plans, assignments, tests, and materials. Maintains accurate student records, grades, and other requirements Engages with students in meaningful and productive ways that impact student learning and leads to a positive experience with Ivy Tech Community College, shows evidence of developing and implementing active classroom teaching strategies focused on engaging students with their learning (curricular) Interacts with students and co-workers in a professional and cooperative manner, complies with College policies, campus guidelines and expectation Ensures knowledge of and implements emergency and safety procedures for classrooms, labs and all learning environments This is not to be construed as an exhaustive list. Other duties logically associated with this position may be assigned. All responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards. Minimum Requirements: 1. Possesses an earned master’s degree or higher from a regionally accredited institution in computer science, engineering, mathematical sciences, information sciences, or a computer-related degree as appropriate to the course and/or specialty being taught; or 2. Possesses a related or out-of-field master’s degree, from a regionally accredited institution, with documented 18 graduate semester hours or equivalent of courses in a computer, mathematical sciences, or engineering-related field as appropriate to the course and/or specialty being taught. 3. Must have strong working knowledge of current technologies appropriate to area of instruction Conducts all activities with an appreciation, respect, and promotion of diversity of people, styles, and views. Official College Transcripts required upon hiring, and employment contingent on acceptable criminal background checks. This position requires sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, and ethnic backgrounds of the College students and employees. Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College’s Title IX Coordinator or to the US Department of Education Office of Civil Rights.

Job Description This person will assist with developing electronics, test systems, and embedded microcontroller-based solutions for our customers. A candidate does not need to have all of the qualifications listed below. TSC will mentor the candidate into the role based off of existing capabilities and ability to learn. Responsibilities: This position requires a flexible individual with experience in electrical engineering. Depending on their expertise, this person’s responsibilities would include some or all of the following: Support the research and selection of electronics and hardware to include individual chip scale components, System on Chip (SoC), System on Module (SoM), and Commercial Off-The-Shelf (COTS) solutions Support the development, testing, debugging, and integration of embedded hardware and/or software solutions Interface with customers and vendors to ensure product performance is to customer specifications and to appropriate standards Required Qualifications: Bachelor’s degree in Electrical, Computer, or related engineering discipline Knowledge of electrical circuits and reading schematics Ability to obtain and maintain a Secret DoD Clearance Preferred Qualifications: Analog, digital, or RF circuit design and PCB layout Expertise in C, C++, and/or C# FPGA Software Development Real-Time Operating System (RTOS) and bare-metal microcontroller design using C and C++ Job Type: Regular Security Clearance: Secret Schedule: Full time, Day shift Travel: Minimal as needed Relocation Assistance Available: Yes Position Contingent Upon Award of Contract: No Technology Service Corporation Benefits: Technology Service Corporation offers a stable work environment, a competitive salary, and a comprehensive benefit package; including ESOP participation, 401k Plan, Flexible Work Schedules, Tuition Reimbursement, Co-Sponsored Health Plan, Paid Leave and much more. Applying to Technology Service Corporation: Only those candidates invited for an interview will be contacted. Employment at Technology Service Corporation is contingent upon the successful completion of a comprehensive background check, security investigation, and a drug screening. This contractor and subcontractor shall abide by the requirements of 41 CFR 60–1.4(a), 60–300.5(a) and 60–741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.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.

Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You’ll be responsible for software and machine learning model development of our on-camera and cloud software. Our mission Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come. We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch. Our product We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack. Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team. The role As a Computer Vision Engineer you will be responsible for creating the computer vision software pipelines to improve the intelligence and efficiency of our camera system. This role is on the AI team where we develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience. Required Qualifications BS/MS in relevant technical degree 3+ years of experience with building computer vision software Strong coding ability; strong grasp of Python Experience with stereo vision, 3D reconstruction, and stereo calibration Experience with training neural networks / deep learning (ideally pytorch) Bonus Qualifications Experience optimizing model inference for real-time inference on limited resources Strong software engineering skills; knowledge of best practices, testing, and deployment Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments 3D data processing skills (voxelmap generation / reasoning) Experience with Docker and cloud SW development (i.e. AWS) Basic database interaction; knowledge of SQL Benefits Competitive salaries and generous equity Unlimited vacation policy Flexible working hours Medical, vision, & dental insurance Retirement matching plan Potential travel to Norway Evolve in a fast-paced environment Be able to shape a business in its early days Get ideas, feedback, and suggestions from other best-in-their-field colleagues Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow Aquabyte takes a market-based approach to salary and equity. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location. Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors. At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible!

From telescopes to software architecture, Observable Space provides the foundational elements every organization needs to operate in space. Observable Space is unlocking continuous, real-time observations of space with the industry’s first line of vertically integrated hardware and software products. The company is the result of a merger between PlaneWave Instruments, the leader in advanced telescope design and manufacturing in the US, and OurSky, a company founded by SpaceX’s former VP of software engineering to create a developer platform for space data applications. Observable Space’s full line of products serves all sectors of the space industry including commercial, science, education, and government customers, as well as astronomy enthusiasts discovering the cosmos. Observable Space is backed by top institutional investors–Upfront Ventures, Oceans Ventures, Venrex, Marlinspike Partners, and Embedded Ventures. We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and astronomers from SpaceX, DARPA, SmartThings, and Bird. This role will report to the CTO. Key Responsibilities Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc). Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse. Design and generate simulated data for rapid testing of proof of concept algorithms. Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases. Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes. Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications. Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research. Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights. Basic Qualifications Masters degree in Engineering, Mathematics, or a related field of study, or equivalent professional experience. Strong foundation in mathematics or computational mathematics. Strong and demonstrated programming ability in C++ or C in a professional environment. Experience in machine learning model training using PyTorch or TensorFlow. Experience in classical vision techniques with an emphasis on OpenCV. Demonstrated experience in first principles engineering and science. Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects. Preferred Qualifications Ph.D. in Engineering, Mathematics, or a related field of study. Knowledge or experience in astrodynamics. What We Offer Competitive Compensation – A salary package aligned with industry standards and your experience. Equity Opportunities – Take part in our success with stock options. Flexible Work Environment – Enjoy working from our office or in a hybrid work setup with the flexibility to work remotely part of the week. We require a minimum of 3 days per week in our office to support collaboration and team culture. (LA Office only) Unlimited PTO – Take the time you need with our flexible, trust-based vacation policy, including paid holidays. We encourage everyone to rest, recharge, and take care of themselves. Health & Wellness – Comprehensive medical, dental, and vision coverage with 100% of the premium paid by the employer for employees. Cutting-Edge Tools – Get access to the latest hardware and software you need to do your best work. Mission-Driven Culture – Be part of a team working on meaningful challenges with real-world impact. Inclusive Team – We foster a supportive and diverse workplace where all voices are valued. Observable Space is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other basis protected by federal, state, or local law. Note: Visa Sponsorship is not available for this position.Salary Range | $130,000 - $180,000

Are you mechanically inclined? Good with computer take-apart and reassembly? An analytical thinker that likes to troubleshoot and solve problems? This is a unique opportunity to get a foot in the door with a successful computer company. Seeking a dedicated apprentice for a two-week trial : 1. Disassembly and reassembly of computer laptops, desktops, towers 2. ID manufacturer parts using internal databases and online searches 3. Catalog computer parts for inventory 4. Pack/Label/Stock parts inventory 5. Perform inventory stock count Advance to Expert Training after a two-week trial. Some things you'll learn in Expert Training: 1. Methods to troubleshoot any hardware and software problem 2. How to build computer systems from scratch 3. Fault isolation and split-testing 4. Operating systems, imaging, installs, automatic and manuals migrations, partitioning schemes 5. Leveraging software automation to get tasks done quicker 6. UNIX administration Some Experience Necessary : 1. Computer repair tools 2. General electronics Schedule: 1. Weeks one and two - 45 hours per week of unpaid apprentice training 2. Weeks three and four - 45 hours per week of paid apprentice training at $16.50 p/hr 3. Weeks five to twelve - 45 hours per week of paid apprentice training at $16.50 p/hr 4. Completion of a three-month assessment to determine a F/T offer Business Hours and Location: 1. Monday 9 AM-5 PM (8hrs) 2. Tuesday 9 AM-5 PM (8hrs) 3. Wednesday 9 AM-5 PM (8hrs) 4. Thursday 9 AM-5 PM (8hrs) 5. Friday 9 AM-5 PM (8hrs) 20hrs x 16.50 = $742.50 weekly Must be 18 years or older—equal opportunity employer.

About the Role We are seeking a highly skilled AI Researcher with deep expertise in 3D modeling, computer vision, and AI-assisted asset creation. In this role, you will push the boundaries of AI-native workflows for 3D content production, combining cutting-edge research with practical implementation. You will work closely with our team to design and optimize algorithms, integrate state-of-the-art models, and contribute directly to the development of AssetHub’s next-generation 3D creation tools. This position offers the opportunity to work on pioneering applications of AI in 3D modeling — from topology optimization to generative asset pipelines — and to shape the future of how high-quality 3D assets are produced. Responsibilities Research, design, and implement advanced AI/ML algorithms for 3D modeling and computer vision. Integrate state-of-the-art AI models into production-ready workflows. Collaborate with product, engineering, and creative teams to define and refine AI-native 3D content pipelines. Optimize algorithms for efficiency, scalability, and quality in real-world production environments. Contribute to AssetHub’s research direction and provide thought leadership in AI for 3D. Requirements Must-Have Applicants who do not meet these criteria will be marked as “Not a fit.” 3+ years of research experience in AI for 3D modeling, computer vision, or related fields. Proficiency in computer vision techniques such as edge detection, skeletonization, and Harris corners using OpenCV. Experience with AI/ML models for image and 3D processing, including SAM, U-Net, ControlNet, and Hugging Face Transformers. Strong background in graph theory and algorithms, particularly using NetworkX for topology optimization. Experience utilizing Large Language Models (LLMs) for research, automation, or generative tasks in 3D contexts. 3–7 years of experience in AI for 3D modeling, computer vision, or related fields. Must be located in the United States. Preferred Applicants who best meet these criteria will be marked as “Top fit.” Research experience related to quadrangulation techniques in 3D modeling. Research background in 3D mesh or texture generation. Experience with Three.js or WebGL for 3D visualization and rendering. Familiarity with 3D AI tools such as Meshy AI or Tripo AI, or frameworks like PyTorch for custom model development. Knowledge of Python libraries like scipy, Open3D, or rdkit for advanced processing. Contributions to open-source AI/3D projects or academic publications. Experience with Blender Python API or add-ons for rapid prototyping. Benefits Why Join Us At AssetHub, we are redefining 3D creation by combining AI research with practical production pipelines. You’ll work on real-world applications that influence games, film, and virtual experiences — collaborating with a talented, globally distributed team committed to innovation.

We are seeking for a  Staff AI/ML Computer Vision Engineer  to design and develop cutting-edge AI-powered features for our next-generation smart home automation products, including smart cameras, video doorbells, and autonomous vacuum cleaners. This position will play a key technical role, leading project execution, mentoring engineers, setting standards for deploying efficient, real-time AI at the edge, and ensuring seamless integration with cloud infrastructure while maximizing performance and efficiency. The ideal candidate combines deep technical expertise in embedded AI, computer vision, multi-sensor fusion, and real-time video processing with strong problem-solving and collaborative skills. Responsibilities Architect and implement ML-based computer vision pipelines for real-time object detection, tracking, and classification across cameras, LiDAR, and other sensors. Design and develop scalable multi-sensor algorithms combining video, audio, and radar/LiDAR data to enhance smart device perception and intelligence. Optimize deep learning models for high performance and low-latency inference on embedded hardware platforms(e.g. Tensorflow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU). Drive Adoption of advanced model compression, quatization, and pruning techniques for efficient edge deployment. Provide technical mentorship to junior engineers, participate in code reviews, and establish best practices for embedded AI software development. Collaborate closely with cloud, hardware, and firmware teams to ensure seamless integration between edge AI solutions and cloud infrastructure, maximizing overall system performance and efficiency. Stay current with the latest advances in AI, computer vision, VLM, and edge computing; evaluate new technologies for potential adoption. Requirements Required Qualifications Master’s or PhD in computer science, electrical engineering, or related field Expert proficiency in Python and familiarity with C/C++ for AI and computer vision development. At least 5 years of experience in deep learning frameworks such as TensorFlow, PyTorch or similar with a PhD. 5+ years of hands-on experience in embedded AI, edge computing, and computer vision. 8+ years experience with a Master's degree Strong track record of deploying, optimizing, and troubleshooting ML models on resource-constrained edge devices. Extensive experience in image/video processing and computer vision libraries (OpenCV, gstreamer, FFmpeg, etc.). Demonstrated ability to independently drive complex projects from conception to deployment. Able to simultaneously manage multiple projects Desired Qualifications Publications or patents in the field of computer vision, embedded AI, or edge inference. Familiarity with state-of-the-art deep learning models for image segmentation and object detection Experience leading cross-functional technical initiatives. Familiarity with hardware/software co-design and low-power optimization for edge AI. Benefits Salary range: $140,000 - 200,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries. We are unable to offer visa sponsorships at this time. You must be legally authorized to work in the United States without the need for employment visa sponsorship now or in the future.

Purchasing Manager – Optics, Electronics, and Computer Hardware Location: Boston Ma Employment Type: Full-time Position Overview We are seeking an experienced Purchasing Manager to lead sourcing and procurement activities for highly sophisticated optical components, electronics contract manufacturing, and computer hardware to support our Quantum Computer Builds. While fluency across all three areas is not expected, the ideal candidate will bring deep expertise in at least one domain, combined with familiarity with concepts in manufacturing material planning, international logistics, supplier NPI’s and quality. This role will be the first of its kind at QuEra in the novel Quantum Computing industry. The Operations team is small, so this is an opportunity to get in on the ground floor and build the future. The ideal candidate should come in with the mindset of rolling up their sleeves building out a best in class purchasing program. There is no problem too big or task too small for this person. Key Responsibilities Own supplier relationships primarily for specialized optics, electronics assemblies, and computer hardware. Negotiate payment, pricing, and delivery terms with domestic and international vendors. Develop and execute RFI’s, RFP’s, and RFQ’s for novel optical and laser componentry. Work with established and new suppliers on New Product Introduction (NPI). Create and monitor PO’s and report to stakeholders on delivery and timing of inbound materials. Work with the Inventory Manager to maintain optimal inventory levels of backstock items. Troubleshoot inbound Customs Clearence issues with logistics firms and vendors. Manage Warrantees and coordinate RMA’s with the technical teams. Work with the vendors to see RMA’s to their conclusion. Drive continuous improvement initiatives in sourcing, cost reduction, and supplier performance. Work with the Finance and Accounting team to optimize cashflow and make QuEra’s purchasing data audit ready. Qualifications Minimum 5 years of purchasing/procurement experience in a manufacturing environment . Startup experience is not required but strongly preferred. Strong knowledge of at least one of the following: Precision optics and optical components Electronics contract manufacturing (PCBs, assemblies, sub-systems) Computer hardware (servers, networking, high-performance systems) Microsoft 365 experience required (Excel). Advanced Microsoft applications (Power BI, Power Automate, Visio, etc) a plus. COTS planning and procurement experience. Working knowledge of materials planning (MRP/ERP systems) required. ERP implementation experience a plus. An understanding of international logistics, including customs clearance. Proven track record of negotiating and managing supplier relationships. RMA management and understanding of supplier quality concepts a plus. Excellent communication, analytical, and problem-solving skills. Bachelor’s degree (preferred but not required). The approximate base salary range for this position is $130,000-$160,000 We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

WELCOME TO COMPTECH Good people. Dedicated People. Hard-working people. CompTech is a service-oriented program management and technical company working to build lasting relationships with small and large companies, municipalities, and Government agencies. Headquartered in Dayton, OH, our clients nationwide are provided with services in client-focused practice areas resulting in solutions to organizational challenges. Job Description Job Title: Computer Operator Location: Tinker AFB (on-site) Schedule: 0800 – 1630, Monday - Friday Supporting: The Defense Logistics Agency (DLA) Active Secret Security Clearance Required Overview CompTech is seeking a qualified Computer Operator to support the Defense Logistics Agency (DLA). The ideal candidate will assist in the technical operation and testing of fully integrated computer-based systems in a supervised environment. This position requires local travel using personal vehicle, company van, cart or other motorized vehicle. Scope of Work Key responsibilities include: Ultimate accountability for ensuring customer satisfaction at every level. Cultivate collaborative relationships with peers and leadership in a team focused environment, always communicating effectively and displaying diplomacy. Proven ability to effectively manage and prioritize a diverse workload of assigned service tickets. Flexible, with the ability to seamlessly transition from daily operations to project actions, and vice-versa. Demonstrated ability to quickly adapt to new policies and evolving technologies within this dynamic technical environment. Adept at interpreting and adhering to guidance and Standard Operating Procedures (SOPs) provided by contract and government leadership. Proficiency in operating a diverse range of system components, including hardware, software, and mass storage technology. Capability, under supervision, to operate communications-computer systems, as well as install, implement, maintain, and optimize operating systems, disk and tape management systems, and computer operations automation software. Anticipates problems, identifies deviations and acts through resolution. Perform other duties as required. Knowledge, Skills, and Certification Requirements: Excellent interpersonal and communication skills One (1) year of Help Desk or Deskside Support experience DLA CE Cert IA Role/Function: Help Desk Tier II & III - may be obtained upon hire Security+ CE Security Clearance Requirements: Secret Salary: $50k Please note: Holding active Secret Security Clearance is an absolute requirement to be considered for this role. Equal Employment Opportunity CompTech is committed to building a diverse and inclusive environment in which we recognize and value each other’s differences as well as fostering a culture that promotes its core values: Commitment, Innovation, and Customer Satisfaction. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran. If you require assistance or an accommodation due to a disability, please call Human Resources at (937) 228-2667 or email stefanie.wallace@comptech.com. A CompTech associate will respond to your message as soon as reasonably possible.

Monmouth University is seeking applications for an Adjunct Professor of Computer Science in the Computer Science/Software Engineering department. Part-time Adjunct Faculty members typically teach 3-6 credits per semester, with class schedules determined based on departmental needs and candidate availability. Courses are taught in person at the West Long Branch campus. Adjunct positions remain posted continuously to expand the university’s pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps. This is an in-person, on-campus, non-remote position. For additional information about the department, please visit the Department of Computer Science and Software Engineering webpage. Additional Application Material Required: Monmouth University requires all applications and supporting documents to be submitted via the university’s career portal. In addition to the application, candidates must upload the following documents. Applications will not be considered complete for review until all required documents are uploaded. Resume or Curriculum Vitae Cover Letter Contact Information for Three Professional References Two Letters of Recommendation Optional Documents: None Special Instructions to Applicants: We encourage candidates to include information in the cover letter that addresses their approach to teaching and their plans to advance diversity, equity, and inclusion in their position at Monmouth University. Duties and Responsibilities: Teach 3-6 credits during the semester. Develop and deliver course lectures, discussions and assignments in accordance with the curriculum and learning objectives. Provide time during the week to meet with students outside of class. Foster a positive and inclusive learning environment conducive to student engagement and academic success. Develop and administer projects and exams to evaluate student learning outcomes and provide grades in a timely manner. Provide timely feedback and guidance to students to support their learning and development. Enrichment Statement: Monmouth University values diversity and invites applications from underrepresented groups who will enrich the teaching and service missions of the university. Minimum Qualifications: Master’s degree or higher in Computer Science or a related field. Excellent interpersonal, organizational and communication skills. Preferred Qualifications: None Questions regarding this search should be directed to: Dr. Zheng at lzheng@monmouth.edu or 732-571-4459 Note to Applicants: Adjunct positions remain posted continuously to expand the university’s pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps. Working at Monmouth University perks: Employee Assistance Program (EAP) Employee Tuition Remission Employee elective deferrals to TIAA, 403(b) plan On campus, Fitness Center – free membership To view a full list of benefits, visit our benefits page at: Employee Benefits Information | Human Resources | Monmouth University Department: Computer Science/Software Engineering Work Schedule: Varies Total Weeks Per Year 14 Expected Salary $1,100 per/credit Union: N/A Job Posting Close Date N/A