Computer Science Jobs Hiring Now - Auto Apply & Get Hired Faster

Job Duties Design, develop, deliver and operate solutions to hard cryptologic computer science problems within a scientific framework Solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures) are applied to each problem to provide state of the art techniques, tools and approaches Required Skills: US Citizens Only Active TS/SCI Clearance and Polygraph required Minimum of four (4) years of relevant experience and a Doctoral degree or six (6) years of relevant experience and a Master's degree eight (8) years of relevant experience and a Bachelor's degree required Ten (10) years of relevant experience and an Associate's degree may be considered Degree in must be in Computer Science; related fields (e.g., Engineering, Mathematics) may be considered depending on program content Relevant experience must be in one or more of the following: Computer systems research Simulation/model development and prototyping Software design Programming Computational science Algorithm analysis and design Reverse engineering Designing/developing computer or information systems including engineering hardware and/or software Compensation Range: $69,047.38 - $151,904.23

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an electrical or computer engineering intern, you will join a multidisciplinary team to apply your academic knowledge and gain hands-on experience in one or more of the following areas: Electronic Warfare and Signal Processing: Antennas, electromagnetics, sensors, radar, photonics, and advanced signal processing. Communications and Spectrum Operations: Wireless communications, SIGINT, spectrum management, and position, navigation, and timing (PNT). Embedded Systems and Security: Electronics design, embedded security, and cryptographic systems. Prototyping and Advanced Manufacturing: Rapid hardware prototyping, mechanical design, reliability analysis, and advanced manufacturing techniques. Maritime Systems Development: Acoustic and ocean modeling, SONAR system analysis, and transducer design. Basic Qualifications Must be a full-time student pursuing an accredited degree program in Electrical Engineering, Computer Engineering, or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge in electrical and/or computer engineering including relevant tools, methodologies, and programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience having applied electrical or computer engineering concepts in an internship, research, or laboratory setting. Proficiency in using electrical and/or computer engineering methodologies, frameworks, tools and/or programming languages. Proven ability to work independently. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and their limitations and bringing your expertise in Computer Vision and developing ML models. Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy. You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc... Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful. In addition, a solid grounding in writing optimized code in C++ and Python. Additionally, familiarity with cloud infrastructure to build training and serving pipelines is also a key aspect to this role. At Dexterity, our use cases require low latency inference that approaches real time and therefore you must be able to build highly performant models and serving architectures. While an understanding of open source solutions is a useful prerequisite, we also require that the candidate has experience building their own models and setting up training pipelines. The end to end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models on the field will be under your purview. About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! Required Skills: BS/MS in Computer Science, Machine Learning or a related discipline, or equivalent experience 5 or more years of related work experience Experience with OpenCV and Open3D Prior experience building, training and deploying production ML models from scratch using PyTorch and Tensorflow Strong knowledge of Modern C++ and Python Experience using profilers and debuggers to optimize code Experience building and maintaining production code Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others Strong academic background and knowledge of ML and academic papers Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines Ability to trace and solve problems across interconnected systems, pipelines and applications Experience with Git and modern CI pipelines Nice to haves: Experience with Docker and Kubernetes Previous startup experience $160,000 - $200,000 a year Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $160,000 to $200,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis. Equal Opportunity Employer We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We 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.

Department Department of Engineering and Engineering Technology By applying to this posting, you are entering an applicant pool for affiliate faculty. Screening of applicants will take place when positions come available. The number of these temporary, part-time, non-tenure track academic positions varies from semester to semester, depending on the needs of the program. As such, not everyone in the applicant pool for this position will be contacted and/or selected to teach. About the University Established in 1965, Metropolitan State University (MSU Denver) was founded to serve students who were underrepresented in higher education whose life paths and experiences did not fit the traditional mold. Sixty years later, the University continues to serve over 16,000 of Colorado's extraordinary and diverse students, providing them with the foundation on which to build their unique aspirations. As the third largest public institution of higher education in Colorado, MSU Denver is a model university for today's college students. Proud of its federal designation as a Hispanic-Serving Institution that also offers graduate programs (gHSI) and the only Seal of Excelencia certified institution in Colorado, the University serves the most diverse undergraduate student population in the state, as well as the most first-generation students. Through affordable, flexible, and holistic education, MSU Denver helps students build essential skills grounded in a multicultural and global perspective that lead to undergraduate and graduate degrees, and career and life success. About the Department of Engineering and Engineering Technology Explore, Innovate, Lead-Engineering Your Future at MSU Denver The Department of Engineering and Engineering Technology at MSU Denver offers a dynamic range of undergraduate degrees designed to ignite your curiosity and empower your career. Whether you're passionate about sustainability, technology, infrastructure, or leadership, our programs prepare you to tackle real-world challenges with confidence and creativity. Environmental Engineering students address critical challenges like water purification, and waste management developing innovative solutions to protect and restore the environment Mechanical Engineering majors design and optimize systems such as robotics, and advanced manufacturing processes, pushing the boundaries of efficiency and innovation Civil Engineering Technology students shape the future of our communities through the planning, design, and construction of vital infrastructure Computer Engineering majors blend hardware and software expertise to develop cutting-edge technologies like embedded systems for smart devices, artificial intelligence platforms, and secure network architectures Electrical Engineering students create and enhance systems powering electric vehicles, renewable energy grids, and advanced communication networks that drive our connected world Construction Project Management students learn to lead complex building projects from concept to completion, blending engineering principles with business and leadership skills Our dedicated faculty challenge and support students every step of the way, ensuring they're equipped for a dynamic career. Equipped with strong math, science, analysis, and problem-solving skills, a degree from MSU Denver's Department of Engineering and Engineering Technology isn't just a credential-it's a platform for making a meaningful impact in the world. Position Summary The Department of Engineering and Engineering Technology at Metropolitan State University of Denver (MSU Denver) invites applications for part-time affiliate faculty teaching positions. For more information about the Department of Engineering and Engineering Technology in our College of Aerospace, Computing, Engineering, and Design, please visit: https://www.msudenver.edu/engineering-engineering-technology . Responsibilities Teach in person, part-time in Computer and Electrical Engineering. An affiliate faculty member's duties may include but are not limited to: teaching assigned classes in person or online by delivering course content to students, preparing course materials and lesson plans, grading student work, providing students with robust feedback in a timely manner, addressing student questions consistent with university, college/school, and department policies, and providing online or in person academic support to students as needed and appropriate for the teaching assignment; providing instruction in assigned classes consistent with the content and learning objectives of the regular course syllabus and, if required, with department course coordination policies; and complying with university-wide student evaluation of instruction policies and peer observation policies. The ability to adapt and learn new modes of instruction is highly encouraged. Candidates need to be sensitive to the educational needs of a diverse student population. Required Qualifications Bachelor's degree in Computer or Electrical Engineering or Engineering related field, plus four years of relevant experience Preferred Qualifications Master's degree in Computer or Electrical Engineering or Engineering related field, plus four years of relevant experience or Doctorate Terms of Employment Affiliate faculty are part-time, at-will employees hired to teach on a per credit hour basis for specific classes, usually on a semester-by-semester basis. Affiliate faculty are not eligible for benefit coverage under the University's benefit program. All such teaching assignments are dependent on budget and enrollment. Qualified candidates will be expected to teach in person/on campus upon hire. Salary for Announcement The final salary is based on the number of credit hours assigned at a rate determined by university policy. For more information, please view pay rates under College of Aerospace, Computing, Engineering, and Design (CACED): Affiliate-Rates-AY-25-26 How to Apply Candidates must apply online through MSU Denver's career site, https://www.msudenver.edu/careers . Complete applications will include the following materials: Curriculum vitae Cover letter Copies of all unofficial transcripts A list of three professional references and their contact information Applicants will notice on the application portal there is one location (the resume/cover letter submission field) to upload all required materials. Multiple documents can be submitted into this one field; alternatively, merge all documents into one PDF and upload. Once submitted, you will not be able to edit your application. Official transcripts will be required of the candidate selected for hire. Closing Date Open Until Filled Posting Representative Tanya Rogowsky Posting Representative Email trogowsk@msudenver.edu Benefits The University's benefits package is comprehensive and offers medical, vision and dental, free RTD pass, tuition reimbursement, as well as a life and supplemental insurance plans, retirement plans and other programs, such as access to a long-term disability (LTD) plan. Visit MSU Denver's benefits website to learn more. For a brief overview, please see: https://www.msudenver.edu/wp-content/uploads/2024/01/MSU-Benefit-Summary.pdf . The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at totalrewards@msudenver.edu. Background Checks Metropolitan State University of Denver is dedicated to ensuring a safe and secure environment for our faculty, staff, students, and visitors. To Assist in achieving that goal, we conduct background checks on all finalists for positions at the University prior to employment. Diversity Statement Metropolitan State University of Denver is a unique, access-oriented campus community that values diversity, equity, and inclusion in all its forms. Our student population consists of nearly 58% first generation students and over 50% students of color. We are a designated Hispanic Serving Institution located in downtown Denver. We create an equitable learning and working environment in concert with individuals who consistently demonstrate commitment to equity and inclusion. We greatly value the diverse identities and perspectives of our students, faculty, and staff and recognize that in order to achieve a just and equitable society, diversity must go beyond simple representation. It requires critical inquiry and dialogue and a commitment to action. We strive to provide a culture of belonging for all community members to achieve personal and professional success.

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days. What you will do: Team Introduction: The Perception team is responsible for developing CV/ML algorithms to understand the surroundings of ego vehicles in real time , including obstacle detection, online mapping, and scene understanding. The perception system takes inputs from multiple sensors across time, and outputs various obstacle-level and scene-level understandings for downstream modules such as prediction and planning, etc. In the Perception team, you will: Develop and deploy cutting-edge perception and deep learning models, including computer vision models, vision-language and large language models (VLMs and LLMs), for real-time integration into our system. Create and optimize data pipelines for data mining, labeling, training, and evaluation, supporting comprehensive onboard development. Conduct advanced research in perception algorithms to address complex, real-world scenarios, focusing on areas like object detection, segmentation, road understanding, and motion prediction. Leverage multi-modal sensor fusion techniques to build robust architectures tailored for autonomous driving. Qualifications: Currently pursuing a degree in Computer Science, Robotics, or a related field, with an expected graduation date between December 2025 and June 2026. Strong programming experience in C++ or Python. Experienced in one or more of the following areas: machine learning, robotics, computer vision, data mining, LiDAR. Knowledgeable in data structures, 3D geometry, and advanced algorithms. Solid foundation in core robotics principles, including state estimation, 3D reconstruction, and visual odometry. Excellent software and computing fundamentals. Bonus Points: Experience with Large Language Models (LLM) or Vision Language Models (VLM) Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $120,000 - $165,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. What Happens Next: We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 4-5 interviews with your future colleagues to better inform our decision. During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process. We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today! WeRide.ai offers competitive salary depending on the experience. Employee benefits include: Premium Medical, Dental and Vision Plan (No cost from employees or their families) Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays 401K plan

Fedway is New Jersey's leading wine and spirits distributor. Servicing over 7,000 restaurants, clubs, taverns and retail stores in New Jersey. We market products that cover every category of the beverage alcohol industry and represent the world's leading distillers, wineries and importers. Our team of managers, sales agents and customer service representatives are here to ensure that you come first. Fedway Associates is seeking a Computer Support Specialist to join our Tech Support Team. This is a full-time position, paid hourly. There are alternating shifts throughout the day with other members of the team. The Computer Support Specialist position is an addition to Fedway's Sales Technology department that focuses on Help Desk support Duties/Responsibilities: Supports both computer hardware and software applications. Configures and sets up equipment including, but not limited to, desktops, laptops, printers, desk phones, and mobile devices. Assists users by answering questions and providing support promptly. Provides problem resolution, reassigning or escalating advanced inquiries to appropriate technicians or staff. Records data are required to analyze and track problems to the final solution. Prepares and presents reports related to IT problems and help desk activity for management review and action. Performs other related duties as assigned. Required Skills/Abilities: Excellent verbal and written communication skills. Proficient in Microsoft Windows and Microsoft Office Excellent organizational skills and attention to detail. Excellent interpersonal skills. Ability to explain technical information in understandable language to nontechnical staff members. Confidence to work independently and self-motivated. Education and Experience: Associates Degree or Technical School/Training 2-3 Years prior work experience is required Physical Requirements: Prolonged periods are sitting at a desk and working on a computer. Must be able to lift approximately 15 pounds at times. Compensation • pay starts at $21 an hour • Annual bonus opportunity Benefits • 401K • Paid holidays • PTO • Vacation Time • Medical, dental, vision, life insurance WE E Verify

The Department of Electrical and Computer Engineering of the Frank R. Seaver College of Science and Engineering at Loyola Marymount University (LMU) invites applications for a tenure-track position at the rank of Assistant Professor beginning fall of 2026. With a long history of excellence in electrical engineering, the department has recently expanded to include bachelor's and master's degree programs in computer engineering. We seek to hire an innovative faculty member to bolster these new degree programs, with an emphasis on any of the following areas: robotics, embedded systems, applied artificial intelligence. Faculty in our programs integrate teaching and research along with industry partnerships to educate future engineers that bring about innovation and uphold high standards of ethical and professional conduct. Small class sizes foster an inclusive environment and create a space for innovative teaching and research practices. State-of-the-art laboratory equipment makes possible meaningful hands-on learning and research experiences for our students. Internal funding provides unique opportunities for faculty to mentor graduate and undergraduate students in research. LMU is located on the west side of Los Angeles (L.A.) overlooking the Pacific Ocean at the heart of Silicon Beach, L.A.'s growing tech and startup hub. LMU is also in the middle of Southern California's aerospace industry. Academic programs and research laboratories of our department benefit from collaborations with our industry partners to bring about innovation and expertise development for students and faculty. To learn more about our department and its faculty, please visit https://cse.lmu.edu/department/electricalandcomputerengineeringdepartment/ . LMU provides comprehensive benefit offerings and robust support for faculty housing. For more information about our programs visit https://admin.lmu.edu/hr/totalrewards/benefits and https://resources.lmu.edu/facultyhousing/ . LMU's faculty resource guide is available at https://academics.lmu.edu/ofd/resources/ . Position Requirements: Academic Qualifications: Applicants must hold a Ph.D. in computer engineering or a closely related field, conferred no later than the position start date of August 15, 2026 Teaching Commitment: Ability to teach a range of computer engineering and electrical engineering courses on the undergraduate and graduate levels; Commitment to excellence in teaching our diverse student population and to foster a sense of belonging and cultivate a climate that supports inclusive excellence Research Development: Development of a thriving research program that involves mentoring undergraduate and graduate students through hands-on activities and securing external funding Service Participation: Active participation in service activities at the academic, professional, and/or community levels Preferred Areas of Expertise: Robotics: Including but not limited to autonomous systems, robotic control, and human-robot interaction Embedded Systems: Design and development of hardware-software systems, IoT applications, and real-time computing Applied Artificial Intelligence: AI-driven system design and implementation for computer engineering Opportunities and Support: Research Funding: Internal funding is available to support faculty research initiatives, providing opportunities to pursue innovative projects and collaborations. Interdisciplinary Collaboration: Opportunities for interdisciplinary collaboration within the college and across the university, leveraging LMU's broad academic community. Professional Development: LMU is committed to the ongoing professional development of its faculty, offering workshops, seminars, and funding for conference participation. Application Instructions: The following application materials must be submitted online by October 31, 2025, for full consideration: Cover Letter: Summarizing your qualifications for the position, including your teaching and research interests, and your commitment to inclusive excellence and LMU's mission Curriculum Vitae: Detailing your educational background, research accomplishments, work experience, and any leadership and service experience relevant to this position Teaching Philosophy Statement: Addressing your overall vision for your role as educator, past and/or potential contributions related to LMU's mission, and your commitment to fostering a sense of belonging and inclusive excellence for our students Research Statement: Outlining your research interests, current work, and future research plans, including how you plan to mentor students and pursue internal and external funding References: Contact information for at least three professional references who can speak to your qualifications for this position. Additional Information: Appointment Period: The appointment follows a 9-month faculty contract period from August to Mid-May of each academic year. How to Apply: Please submit your application via the following link: https://lmu.wd1.myworkdayjobs.com/en-US/Careers/job/Assistant-Professor---Computer-Engineering_R12327 #HERC# #HEJ# Faculty Regular Reasonable expected salary: $108,000.00 Please note that this position is not eligible for visa sponsorship now or in the future. Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

What You Will Do: As a Cryptologic Computer Scientist / Cyber Threat Analyst, Level 2, you will design, develop, and deliver advanced technical solutions within a scientific and analytical framework to support mission-critical cyber operations. This role blends deep computer science expertise with cyber threat analysis, requiring comfort working with large-scale data sets, advanced analytics, and investigative problem-solving. You will support a wide range of cryptologic and cybersecurity missions, including forensics, attack attribution, critical network protection, penetration testing, and cyber threat discovery. Leveraging strong programming and data analysis skills, you will analyze complex network and protocol data, uncover patterns, and generate insights that drive operational awareness and defensive capabilities. This position is ideal for an inquisitive, discovery-focused professional who enjoys exploring complex data, developing innovative techniques, and applying computer science fundamentals to real-world cyber challenges. Key Responsibilities: Design, develop, deliver, and operate solutions to complex cryptologic and cyber threat problems using a scientific and analytical approach. Perform cyber threat analysis activities including forensics, attack attribution, and identification of adversary behaviors. Analyze large-scale structured and unstructured data sets to identify anomalies, patterns, and indicators of compromise. Apply computer science principles to support protection of critical networks, active system warnings, and penetration testing activities. Conduct knowledge discovery across passive and active systems to support cyber and cryptologic missions. Utilize programming, algorithms, and data structures to develop analytical tools and prototypes. Perform network and protocol analysis to support detection, investigation, and mitigation of cyber threats. Collaborate with mission partners, analysts, and engineers to translate analytical findings into actionable intelligence. Document methodologies, findings, and results clearly for technical and non-technical stakeholders. Required Skills and Qualifications: Experience as a hybrid computer scientist and cyber threat analyst supporting cyber or cryptologic missions. Proficiency in Python and experience working with large-scale data processing frameworks such as Spark. Strong understanding of network architectures, protocols, and traffic analysis. Experience performing cyber threat analysis, digital forensics, or attack attribution. Comfort working with large data sets and applying analytical techniques to extract meaningful insights. Strong problem-solving skills with a curiosity-driven, discovery-focused mindset. Ability to apply advanced computer science concepts to real-world cybersecurity challenges. Familiarity with customer or mission-specific analytical tools is beneficial but not required. Education and Experience: Minimum Qualifications (One of the following): Master's degree with 3 plus years of relevant experience Bachelor's degree with 5 plus years of relevant experience Associate degree with 7 plus years of relevant experience Acceptable Degree Fields: Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming course and at least four upper level mathematics courses (Calculus and above) Relevant experience must include computer science areas such as theoretical or applied computer science, simulation or model development, designing or developing or using or evaluating mathematical models, computation science, algorithm analysis and design, reverse engineering, and designing or developing computer and information systems including hardware and software 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.

Stellar Science is a growing Albuquerque-based scientific software development company seeking talented software developers to create and extend exciting scientific and engineering analysis applications.  We maintain high standards in all our software development efforts, utilizing modern development practices including continuous integration, test-driven development, and code reviews to develop high-quality, maintainable, and reusable code.   We are currently seeking capable software engineers with experience solving challenging Computer Vision (CV) and Machine Learning (ML) problems using modern C++ and/or Python. Our target applications include but are not limited to: Structure From Motion (SFM) : Producing 3D shape data from multiple images ML-based image classification : Identifying objects in images Model-Image Alignment : Aligning known shapes to appearances in images Join our unique, collaborative team to help implement leading-edge scientific software tools in exciting aerospace engineering and analysis fields. Our employees enjoy extremely flexible work schedules with a hybrid workplace model and generous benefits. Minimum requirements: BS in STEM field with three or more years of software development experience Demonstrated experience developing CV and Image Processing software Object-oriented design and C++ and/or Python programming experience Adept at learning new paradigms and programming development processes Interest in developing modern, high-quality C++20/23 code U.S. citizen, willing to undergo background investigation, and perform some work at government and/or customer sites Experience in any of the following is a plus: MS or PhD degree with focus on CV Familiarity with contemporary CV research literature Classic SFM algorithms: Tomasi-Kanade Factorization, SIFT descriptors, etc. Relevant CV computing libraries: OpenCV, Ceres solver, Boost, Eigen Cross-platform development on Linux and Windows 2D/3D graphics coding: OpenGL, OpenSceneGraph Supercomputing: MPI, OpenMP, General-Purpose GPU (GPGPU) User interface development: Qt Continuous integration: git, Bitbucket, Jenkins, CMake 3D Modeling and Computer aided design (CAD) Aerospace vehicles, orbital mechanics, space domain awareness Past or active US security clearance Code sample or C++ evaluation required upon application. Positions are in or near: Albuquerque, NM, Dayton, OH, or Tysons Corner, VA (Washington DC area) Powered by JazzHR

Eyeline Studios Eyeline Studios serves as Netflix's innovation hub, empowering creators to realize their visions and expand the horizons of visual storytelling. By providing unmatched creative and technical environments, we enable filmmakers to explore next-generation technologies like volumetric capture, generative visualization workflows, in-camera and real-time visual effects, game engine workflows, dynamic lighting, and world capture. Our mission is to tackle the challenges of tomorrow, making the seemingly impossible achievable, delivering photorealistic quality with exceptional speed and efficiency, and supporting creators in bringing their boldest creative visions to life. We want to provide you with a solid foundation where you can be a part of an innovative team of brilliant researchers, developers and virtual storytellers. Learn more . We are seeking a highly skilled Research Scientist with a strong background in computer vision, computer graphics, and machine learning. This role is ideal for candidates passionate about generating high-quality images and advancing the state of the art in dynamic scene capture and reconstruction, and novel view synthesis. You will be at the forefront of developing new algorithms that drive the future of visual storytelling. Key Responsibilities Conduct applied research in computer graphics and machine learning, with a focus on high-fidelity reconstruction and photorealistic image synthesis Design, implement, and evaluate novel algorithms for (Dynamic) Gaussian Splatting, 3D reconstruction, and performance capture Lead high-quality data acquisition and curation efforts to support next-generation machine learning algorithms for VFX and virtual production Prepare and publish research at top-tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR) Collaborate closely with engineering, production, and business teams to integrate research outcomes into production workflows, always aiming for production-quality results (not just research demos) Identify and champion new research directions that can have significant impact on content creation and virtual production Qualifications PhD in Computer Graphics, Computer Vision, Machine Learning, or a closely related field (required) Strong publication record as first author at top-tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR) Deep expertise in computer graphics and machine learning, with demonstrated experience in 3D reconstruction, dynamic scene capture, and photorealistic rendering Hands-on experience with (Dynamic) Gaussian Splatting, 3D reconstruction techniques, and either diffusion models (image/video) or transferrable experience with transformer architectures Strong interest and attention to detail in image and signal processing, with a drive to achieve high-quality, production-ready results Exceptional interpersonal and communication skills, with the ability to work collaboratively in a fast-paced, multidisciplinary environment High level of ownership, initiative, and a positive, problem-solving attitude Passion for movies, TV, and storytelling (preferred) This salary range is specific to applicants applying to our position in Los Angeles, California. To determine your base salary, we consider your qualifications, skills, and experience. These considerations can cause your compensation to vary outside of this range and will also be dependent on your location. About Us Scanline VFX is an award-winning leader in the visual effects industry with 7 studios worldwide, including London, Los Angeles, Montreal, Seoul, Mumbai, Hyderabad and Vancouver. Since our beginning in 1989, we strive to set the highest standard of quality in everything we do. Through innovation, we generate solutions for our clients and raise the bar — both within our workplace and throughout our industry. Powered by Netflix Netflix’s investment in our pipeline, infrastructure, and workforce allows us to continue to push the boundaries of what is possible in visual effects. In addition to working on projects for Netflix, we continue to work with a variety of long-standing and new clients. Come as you are We are committed to ensuring fair and equal treatment of your application. When you apply for a role with us, you will receive consideration based solely on your qualifications.

Netflix is a global leader in entertainment services, expanding beyond media distribution into cutting-edge content production. Within this ecosystem, Eyeline Labs serves as the research and innovation arm of Netflix Eyeline Studios, developing and deploying advanced technologies that transform how films are made. Our mission is to tackle the challenges of tomorrow, making the seemingly impossible achievable, delivering photorealistic quality with exceptional speed and efficiency, and supporting creators in bringing their boldest creative visions to life. We want to provide you with a solid foundation where you can be a part of an innovative team of brilliant researchers, developers and virtual storytellers. Learn more . We are seeking a highly skilled Research Scientist with a strong background in computer vision, computer graphics, and machine learning. This role is ideal for candidates passionate about generating high-quality images and advancing the state of the art in dynamic scene capture and reconstruction, and novel view synthesis. You will be at the forefront of developing new algorithms that drive the future of visual storytelling. Key Responsibilities Conduct applied research in computer graphics and machine learning, with a focus on high-fidelity reconstruction and photorealistic image synthesis Design, implement, and evaluate novel algorithms for (Dynamic) Gaussian Splatting, 3D reconstruction, and performance capture Lead high-quality data acquisition and curation efforts to support next-generation machine learning algorithms for VFX and virtual production Prepare and publish research at top-tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR) Collaborate closely with engineering, production, and business teams to integrate research outcomes into production workflows, always aiming for production-quality results (not just research demos) Identify and champion new research directions that can have significant impact on content creation and virtual production Qualifications PhD in Computer Graphics, Computer Vision, Machine Learning, or a closely related field (required) Strong publication record as first author at top-tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR) Deep expertise in computer graphics and machine learning, with demonstrated experience in 3D reconstruction, dynamic scene capture, and photorealistic rendering Hands-on experience with (Dynamic) Gaussian Splatting, 3D reconstruction techniques, and either diffusion models (image/video) or transferrable experience with transformer architectures Strong interest and attention to detail in image and signal processing, with a drive to achieve high-quality, production-ready results Exceptional interpersonal and communication skills, with the ability to work collaboratively in a fast-paced, multidisciplinary environment High level of ownership, initiative, and a positive, problem-solving attitude Passion for movies, TV, and storytelling (preferred) $100,000 - $320,000 a year This salary range is specific to applicants applying to our position in Los Angeles, California. To determine your base salary, we consider your qualifications, skills, and experience. These considerations can cause your compensation to vary outside of this range and will also be dependent on your location. About Us Eyeline is a global creative studio partnering with storytellers to turn their ambitions into stunning reality. By blending the time-honored craft of filmmaking with breakthrough technologies, we unlock bold, cinematic visions at scale. Our three pillars - VFX, Studios and Labs - form the creative spine of Eyeline, guiding how we think, work, and show up in every frame. At Eyeline, we believe technology serves artistry and our people are the soul behind everything we do, deepening creative connection, rather than replacing it. We build worlds with exceptional craft and precision, working hand in hand with our creative partners from concept to final pixel. Netflix Investment- Eyeline With the support of Netflix’s investment in our pipeline, infrastructure, and workforce, we’re pushing the boundaries of what’s possible in visual effects and virtual production technology. In addition to our work with Netflix, we continue to partner with a wide range of long-standing and new clients worldwide. Come as you are We are looking for those seeking to take risks with us, those driven by passion for their craft. To us, these are key ingredients that we look for in our team. We are committed to ensuring fair and equal treatment of your application. When you apply for a role with us, you will receive consideration based solely on your qualifications. 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.

Job Description : Code Ninjas is the nation’s fastest-growing kids' coding franchise. In our center, kids ages 5-14 learn to code in a fun, non-intimidating way- by playing and building video games they love. Parents are thrilled as their children gain confidence and new skills including coding, math, logic, and problem-solving, as they progress from white to black belt. Our core promise is “Kids have fun, parents see results”. We believe in these words so much that it’s written on the walls in our center. We are looking for a responsible, and dynamic individual with great energy who is fun, technically savvy, and would be willing to learn. We provide training. Are you experienced in working with children? Do you enjoy teaching and building problem-solving skills in young engineering minds? Have you mentored youth? This could be the role for you. Responsibilities : *Training- go through the provided curriculum and use it to teach the class *Create a positive and safe environment in which students can grow. *Work with children to teach technology *Provide feedback to parents after working with class *Report weekly to Center Director on progress Qualifications : *Experience with STEM, Teaching, and working with Kids is a plus *Technologically savvy *Reliable, punctual, and dependable. Must have a car to travel to work. Should be willing to travel within 5 miles to support our after-school program. Will be okay to have to go through a background check Shift : We are flexible and instructor can choose to work any of these days when we are open (Monday, Tuesday, Wednesday, Saturday and Sunday) Regular Hours – Mon/Tue/Wed 4 PM to 7 PM, Sat 9:30 AM to 1:30 PM, Sun 12 PM – 2 PM Compensation: $16.00 - $20.00 per hour ABOUT US Code Ninjas® is the world’s largest and fastest-growing kids coding franchise, with hundreds of locations in the United States, Canada, and the United Kingdom. Founded in 2016, our company is headquartered in Houston, TX. At our centers, kids learn to code while building their own video games. Kids have fun, parents see results®. Code Ninjas is creating the problem solvers of tomorrow. We believe that every child deserves the opportunity to unlock their full potential. Educating our youth in coding provides them with the problem-solving skills and self-esteem to pursue their dreams. 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 Code Ninjas Corporate.

Themis Insight solves difficult business, IT, and analytic problems by addressing the whole problem – not just the symptoms – using interdisciplinary approaches that are both practical and innovative. We provide fresh alternatives to ordinary, mainstream consulting firms through small, highly skilled, and hand-picked teams that can meet clients' needs in any industry. Our broad interdisciplinary understanding allows us to provide the right solution, even if it is from outside the industry or traditionally defined problem space. We bring Public and Private, Civilian and Military expertise to every case. We are hiring a Cryptologic Computer Scientist to work in Fort Meade, MD. Position location is subject to change based on central MD client's needs. Required: TS/SCI with a Polygraph Design, develop and operate solutions to hard cryptologic computer science problems within a scientific framework. The solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge of discovery of passive and active systems, or other cryptologic computer science mission support. Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures) are applied to each problem to provide state-of-the-art techniques, tools, and approaches. Individual Capabilities/Experience Required: Level 2 - Bachelor's degree plus 5 years of relevant experience or a Master's degree plus 3 years of relevant experience or a Doctoral degree and 2 years of relevant experience. An Associate's degree plus 7 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Level 3 - Bachelor's degree plus 8 years of relevant experience or a Master's degree plus 6 years of relevant experience or a Doctoral degree plus 4 years of relevant experience. An Associate's degree plus 10 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Level 4 - Bachelor's degree plus 11 years of relevant experience or a Master's degree plus 9 years of relevant experience or a Doctoral degree plus 7 years of relevant experience. An Associate's degree plus 13 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Computer Science (CS). Related fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology (IT) or Information Systems (IS) degrees may be considered relevant if the programs contain the amount and type of coursework equivalent to a CS major. Relevant experience must be in computer systems research; simulation/model development and prototyping; software design; programming; computational science; algorithm analysis and design; reverse engineering; and/or designing/developing computer or information systems, including engineering hardware and/or software. Themis Insight has all the PERKS! You are our most valuable resource — your ambition, your knowledge, your creativity. We offer an industry-leading set of benefits to supplement your normal salary compensation. Themis Insight has you covered with flexible ways to balance work and home life, full health benefit premium coverage, and generous contributions toward your retirement. Competitive health, dental, and vision plans with 100% paid premiums. 401k: We contribute 6% even if you don't! Time Off: 11 standard holidays, and 25 days of PTO Career Development: Get career counseling and individualized career development plans, including education and training. Employee referral bonuses for successful hires Themis Insight is an Equal Opportunity/Affirmative Action employer. Themis Insight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to government entities to deliver predictable, measurable impact for the American taxpayer and consumer.rockITdata is seeking a Computer User Support Specialist to join our team. This Support Specialist will provide technical support and assistance by deploying to field offices of a large federal program. Responsibilities include conducting IT infrastructure assessments and performing wellness checks on end-user devices to ensure operational efficiency and compliance. Key Responsibilities: Conduct network performance evaluations Check conference room equipment Support end-user devices Ensure compliance with program policies. Assist with IT equipment disposal training Support onsite personnel with IT issue ticketing. Required Qualifications: Bachelor's degree (or equivalent work experience) in IT, Computer Science, or related field 4 years of experience in IT and/or field/user support roles. Must have strong technical knowledge of hardware, software, and network troubleshooting, and experience with IT equipment setup and maintenance. Possesses strong problem-solving, analytical, communication, and interpersonal skills with the ability to manage multiple tasks effectively. Must be proficient in remote support tools and ticketing systems and must be willing to travel. Preferred Qualifications: Relevant certifications (e.g., CompTIA A+, Microsoft Certified: Modern Desktop Administrator) Familiar with Government IT environment and policies Ability to obtain a Secret Clearance #LIremote Here at rockITdata, we are committed to following our 10 Guiding Principles. Our Guiding Principles define our culture. They’re who we are, how we work, and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging, fast-paced environment, no day is the same. Know the Why. Value People Above All Else. Transparency to a Fault. Progress, Not Perfection. Be Good by Doing Good. Smart People Can Disagree. Bend but Don’t Break. Represent Your Brand. Think Differently. Be Amazing, Be Fearless, Smile, Have Fun! Interested in joining something unique? Join us on our rockIT ship as we begin to blast off to the next chapter in our organization! rockITdata has become aware of a recruitment scam where unauthorized individuals are impersonating rockITdata recruiters, issuing fake job offers, and attempting to setup payment for the job seeker’s new hire costs. No one is ever required to complete any monetary transactions before starting employment with rockITdata. Legitimate rockITdata communications only come from @rockitdata.com email addresses and our official Applicant Tracking system, JazzHR (@applytojob.com email addresses). Please refer to our official Careers page at www.rockitdata.com/careers to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email, dreamjob@rockitdata.com. rockITdata is an equal opportunity employer and is committed to non-discrimination in all employment practices and decisions. All qualified applicants will receive consideration for employment without regard to disability status, veteran status or any characteristic protected by Federal, state, or local law. rockITdata wants all interested and qualified candidates to be able to use our career site to review and apply for employment opportunities. If you have a disability and need an accommodation to access the application process, please contact us for assistance at dreamjob@rockitdata.com. Powered by JazzHR

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.

Matrix designs, manufactures, and sells innovative technological products that help keep people safe. Originally focused on the underground coal mining industry, Matrix has expanded into new industrial markets in the United States and globally. We are currently seeking a Senior Computer Vision Engineer. The Senior Computer Vision Engineer will work closely with software engineers, as well as project and product managers, to develop robust vision-based artificial intelligence algorithms. In this role, the engineer's enthusiasm and expertise in computer vision engineering will be directed toward designing safe and effective computer vision solutions. This position is based in a collaborative, team-oriented environment at the company's main office in Newburgh, IN, and is not open to remote work arrangements. This position works in a team environment at our office in Newburgh, IN. This is not a remote position. This position reports to the Manager of Software Systems. Duties and Responsibilities Prepare customer-facing presentations for custom model deployments Implement CI/CD pipelines for models, data, and source code Work with product and project managers to ensure that projects proceed on time and on budget Work with other engineers to develop a working understanding of how the AI is developing Document process steps to ensure reasonable human oversight Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models Mentor junior engineers and interns Participate in code reviews and sprint planning Understand and apply best practices for object detection modeling Understand and apply TensorFlow, PyTorch, and ONNX core concepts Understand and apply hardware accelerator compilation and execution Understand and apply Jupyter Notebooks/Google Colab concepts Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines Qualifications & Competencies Employment Eligibility & Verification All applicants must be able to provide proof of eligibility to work in the United States. Employment is contingent upon the successful completion of the I-9 form, as required by federal law. Additionally, candidates will be required to undergo an employment verification process before beginning work. Please note that we do not offer sponsorship for work authorization (e.g., H-1B, TN, or other visas) at this time. Education: Bachelor's degree in a related field, such as computer science, software engineering or data science, is recommended. Master's degree in Artificial Intelligence a plus. 7+ years of experience in the ML space An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO Experience with containerization technologies such as Docker, Kubernetes, etc. Experience developing software using one or more of the following languages (C/C++, C#, Python) Experience with Linux and/or Windows OS Experience with model, container, and package registries Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc. Experience with multimodal models such as CLIP, GPT-4V, Llama Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc. Strong understanding of source control concepts and CI/CD pipelines Must have strong communication, computer, documentation, presentation, and interpersonal skills Working Conditions Daily Job duties will consist of office, lab, and desk work with occasional field testing required. Candidate may be required to work underground, but on an infrequent basis. While performing the duties of this job, the employee is regularly exposed to work near large moving machinery. Customer operations may contain airborne particles and allergens. Matrix employees are furnished and required to wear safety gear such as hard hats, steel toe shoes, reflective clothing, earplugs, and safety glasses. Occasional travel and ability to work various shifts as required by customer. Physical Requirements The employee is occasionally required to stand, walk and stoop, or crouch. The employee may need to lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Benefits First day coverage of all benefits - no waiting period Premium free medical, dental and vision insurance – working spouse must take single major medical at their place of employment if offered On-site health clinic Basic Life (2x annual base salary at no cost) Optional Life and Accidental Death and Dismemberment (AD&D) insurance Short-Term and Long-Term Disability insurance (no cost) 401(k) Plan with up to an 8% company match FSA for Health Care and Dependent Care 10 Paid annual holidays plus vacation time Educational Reimbursement Program Scholarship Program Optional Gym Membership ESports Room #LI-Onsite

About The Opportunity This Computer Support Analyst II position is located in Chicago, IL 60603 of the United States. Netrix Global, award-winning provider of cybersecurity and end-to-end IT services, seeks a Computer Support Analyst II , you will play a crucial role in providing technical assistance and support to our clients and internal teams. You will be responsible for diagnosing and resolving hardware and software issues, configuring computer systems, maintaining and upgrading software applications, and ensuring the overall functionality of IT systems. How You Will Make An Impact Provide technical assistance and support for incoming queries and issues related to computer systems, software, and hardware. Install, configure, and maintain hardware and software components of computer systems. Troubleshoot and resolve technical issues related to operating systems, networks, applications, and peripherals. Perform regular upgrades to ensure systems remain updated and secure. Collaborate with IT teams and vendors to ensure seamless integration and operation of systems. Create and maintain technical documentation and manuals. Train end-users on new hardware and software applications. Conduct remote troubleshooting when necessary. Ensure all IT equipment complies with organizational policies and procedures. Maintain confidentiality and security of all company and client information. Ability to work overtime where needed during the busier tax season months for an accounting firm customer (2/1-4/30 each year). Ability to travel up to an hour in any direction, from downtown Chicago, IL for needed customer L2 work Ability to work remotely outside of the defined tax season dates (2/1-4/30 each year is the tax season) to perform remote L2 work. What You Will Bring To The Table 2 plus years of proven experience as a Computer Support Analyst or similar role. Proven experience as a Computer Support Analyst or similar role. Strong knowledge of computer systems, hardware, and software applications. Proficiency in troubleshooting technical issues and providing timely solutions. Excellent communication skills, both verbal and written. Ability to work independently and collaboratively within a team environment. Strong analytical and problem-solving skills. Relevant certifications (e.g., CompTIA A+, Microsoft Certified IT Professional) are a plus Interaction Daily interaction with client management and employees. Impact Computer Support Analyst interacts with customers on a regular basis and needs to maintain a positive and professional attitude always. About US At Netrix Global our values are the philosophies and principles that we live by. They support our vision, help us achieve our goals and commit us to a common purpose. We Own Outcomes, Win Together, Make An Impact, Enjoy The Journey, and Respect All! Netrix Global is a mission-driven organization with the goal of providing the people, processes, and technology needed to run and scale modern, data-driven businesses that are always on and always secure. Our breadth of capabilities allows us to provide holistic offerings that solve even today's most complex business challenges, delivering to you an integrated, optimized, and future-proof solution. We work with clients of all sizes and specialize in solutions for healthcare, manufacturing, government, education, financial services, and legal industries. Netrix is consistently ranked in the CRN VAR500, detailing the country's top system integrators. At Netrix, we're driven to solve business problems with innovative technology solutions. We focus on end-users and are committed to client satisfaction. What You Can Expect From Us We offer a competitive compensation package, comprehensive group benefits to meet the needs of you and your family, flexibility, and time off when you need it, and a casual work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. As part of this commitment, we will ensure that persons with disabilities are provided with reasonable accommodations. If you need reasonable accommodations, please let us know by contacting NetrixHR@Netrixglobal. To learn more about Netrix Global please go to www.netrixglobal.com

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.

Business Staffing of America, Inc. is seeking a skilled Network and Computer Systems Administrator to support the Knowledge Management team at the facility. This role involves administering and maintaining secure servers, networks, and software, ensuring reliable access for users, supporting high-performance computing systems, and assisting in the implementation of system and network security measures. Position Overview The System Administrator will assist with the operation, maintenance, and security of local knowledge management systems, high-performance Linux computing clusters, and research computers running Windows and Linux operating systems. This role requires troubleshooting network and system issues, responding to user requests, maintaining backups, and implementing software and security updates while adhering to FAA security regulations. Key Responsibilities Administer and maintain servers, software, and networks under minimal supervision. Monitor system security, apply updates and patches, and assist in responding to system security assessments. Respond to customer service requests by analyzing and resolving technical problems. Ensure users can securely access databases, software, and HPC systems. Monitor and implement updates to Standard Operating Procedures (SOPs) based on current security regulations and orders. Troubleshoot and resolve network and system issues reported by customers or other stakeholders. Assist in administering the High-Performance Computer (HPC) , including cluster/node management, backups, software updates, and network connectivity. Train and assist government employees and contractors in the use of HPC systems; prepare documentation such as system requirements, configuration management notes, and user guidance. Assist the Knowledge Management team in maintaining research computers with Windows and Linux OS, implementing new software, and updating system infrastructure. Collaborate as a point of contact for infrastructure, network, and connectivity updates Qualifications Education: Option 1: B.S. or higher in System Administration, Computer Science, or a related field with at least 2 years of experience administering secure onsite systems and networks. Option 2: High school diploma with at least 6 years of experience administering secure onsite systems and networks. Experience: Minimum 2 years assessing and maintaining system and network security, ensuring authorized user accessibility in compliance with FAA Minimum 2 years implementing new system and network security requirements. Minimum 2 years with Microsoft Windows Server OS administration. At least 2 years as a system or network administrator. Experience with Linux operating systems, configuration management, and implementing security requirements. Minimum 1 year administering multi-node Linux HPC systems and operating cluster management software. Problem-solving experience to troubleshoot and resolve user service requests with minimal assistance. Teamwork and interpersonal communication experience working with colleagues, management, and users of varying technical expertise. Ability to meet deadlines and respond to requests according to defined schedules. Skills & Abilities: Strong troubleshooting and analytical problem-solving skills. Knowledge of network security, system administration, and high-performance computing. Proficiency with Windows Server, Linux OS, and cluster management tools. Effective communication, documentation, and training abilities. Ability to work independently and collaboratively within a team environment. Work Location & Schedule Location: Onsite in Oklahoma City, OK Schedule: Monday through Friday, standard business hours. Approx 9.5 hours per week. Holidays: No work on federal holidays or other federally designated non-work days.