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Location : Remote About Panoptyc At Panoptyc, we're on a mission to revolutionize loss prevention. Using visual AI and manual reviewers, we help retailers detect theft in over 15,000 markets across the United States. From Fortune 500 giants to local businesses, our impact is far-reaching. As a fully remote, rapidly growing team, we're excited to invite top talent worldwide to join us in reshaping the future of retail security. We're looking for a technical trailblazer —a hacker, builder, and visionary leader who can turn bold ideas into working systems. As our Computer Vision Lead (R&D) , you'll lead the charge on building next-gen AI and computer vision products from 0 to 1, managing a lean team of engineers while still getting your hands dirty on high-impact technical work. You’ll prototype quickly, validate in the field, and guide the evolution of our most ambitious products—starting with theft detection in retail environments used by thousands of stores. What You’ll Do Lead and manage a small team of engineers to prototype and productize computer vision and AI systems Personally build and own early-stage proofs-of-concept, rapidly iterating and validating in the real world Define and prioritize the technical R&D roadmap in collaboration with product and business leads Architect scalable systems that transition from lab to production (edge and/or cloud) Vet new models, data architectures, and hardware deployments Be a key thought partner in setting technical direction for entirely new product lines What We’re Looking For 8+ years in engineering roles with deep experience in AI, ML, and computer vision Proven track record of building 0 → 1 products or technical breakthroughs that went to market Strong hands-on skills with ML frameworks (e.g., PyTorch, TensorFlow), video analytics (e.g., OpenCV), and deployment tooling (e.g., ONNX, Triton, containers) Comfortable leading and scaling small engineering teams Hacker energy: fast, creative, scrappy, and resourceful Experience creating data pipelines for and categorizing vast sets of video training data. Bonus: Experience with edge computing, streaming pipelines, or hardware deployment in retail, robotics, or surveillance settings Why This Role? Lead and shape R&D at a company already deployed in 20,000+ stores and catching hundreds of thousands of thefts a year Work with Fortune 500 retailers solving real-world loss prevention with cutting-edge AI Huge ownership: lead products with the potential to become $500M+ businesses Fast-moving, well-resourced team with real traction Fully remote role (globally) Up to $80 USD/hr Ready to build real-world AI that scales? Apply now. Let’s talk.

The Leidos Quantum Incubator has an opening for a Quantum Computer Scientist with a background in quantum information science. In this position, the Quantum Computer Scientist will research quantum network behavior, algorithms for quantum networking and computing, and develop software to simulate quantum network behavior and orchestration. Ideal candidates should be interested in a career devoted to applied research and development with strong mathematical and software skills and should be interested in maturing technologies from concept to prototype. Primary Responsibilities Design, simulate, and analyze cutting edge devices in quantum communication, sensing, and precision positioning, navigation, and timing Develop new concepts for quantum communication and distributed quantum device protocols Design software to create high-fidelity simulation of quantum communications, photonics, or sensing experiments. Coordinate large-scale software development for quantum device simulations. Collaborate with other team members, engineers, and scientists across the company and different fields to leverage quantum technologies to achieve organizational goals Multiple openings at various levels. The various position’s minimum education and experience requirements are as follows: T3: B achelor’s degree in physics, engineering, or related fields and 4+ years of prior relevant experience. A dditional years of experience may be considered in lieu of degree requirements. T4: B achelor’s degree in physics, engineering, or related fields and 8+ years of prior relevant experience. A dditional years of experience may be considered in lieu of degree requirements. Basic Qualifications: Research experience in one or more of the following areas: computer science theory, algorithms theory, distributed quantum computing, network behavior, and network nonlocality. Familiarity with quantum information software tools such as Qiskit, Pennylane, SeQUeNCe, QuTIP, etc. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources Strong theory and analytical skills Strong technical writing skills with experience in writing advanced technical proposals. US Citizenship with the ability to obtain and maintain a US government security clearance Strong desire to learn new technologies and flexibility to change from one project to another quickly Experience with standard programming languages for analytics or scientific applications, such as Python, Matlab, and Mathematica and version control i.e. Git Ability to effectively communicate to both technical and non-technical audiences Highly motivated to publish in peer-reviewed journals and present research at conferences Preferred Qualifications: PhD in computer science, information theory, physics, mathematics, applied physics, engineering or related field. Extensive experience researching in quantum information and communication theory Deep knowledge of computer science algorithms and principles, i.e. research experience proving properties of algorithms Familiarity with theory and applications of quantum networks such as distributed quantum algorithms, network nonlocality, distributed quantum sensing, etc. Comfort with tools ranging from numerical simulation to mathematical proof to demonstrate viability of quantum information concepts Experience with quantum-classical hybrid processing Experience with potential avenues for quantum advantage such as Hamiltonian Simulation, Quantum Machine Learning, etc. Interest and experience in quantum communications, quantum computing, quantum networks, or quantum sensing Demonstrated experience in proposing and winning independent research funding DoD Top Secret Clearance If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: November 20, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About PlanITROI : Since 2001, PlanITROI has been providing global reverse logistics, IT Asset Disposition, and Asset Recovery Services for OEMs, retailers, enterprises, education, and SMB organizations, committed to preserving the highest levels of environmental responsibility and data security while changing lives with their retired computing devices. PlanITROI leverages the circular economy to do social good, by turning clients returned, retired, or idle IT devices, laptops, PCs, smartphones, and tablets, etc., into re-certified, affordable technology solutions sold directly and through the largest retailers in the world! Position Overview: PlanITROI is seeking skilled Tier 3 Computer Repair Lead Technicians to join our IT Asset Disposition (ITAD) refurbishing team. This role is responsible for advanced-level diagnostics, repair, and refurbishment of computer hardware and related IT equipment. The Tier 3 Technician will serve as a subject matter expert, troubleshooting complex issues, supporting lower-tier technicians, and ensuring refurbished devices meet customer specifications and company quality standards. Full-time: Monday-Friday, 7 AM-3:30 PM Key Responsibilities Perform advanced troubleshooting and repairs on desktops, laptops, notebooks, Chromebooks, tablets, and other IT hardware. Diagnose and resolve hardware and firmware issues that could not be resolved at Tier 1 or Tier 2 levels. Rebuild, reconfigure, and upgrade systems, including component-level repairs such as motherboards, power supplies, and displays. Test and verify functionality of repaired and refurbished devices to meet quality assurance standards. Lead & coach Tier 1 and Tier 2 technicians with escalated repairs and provide training or mentorship as needed. Document all repairs, parts used, and outcomes in company systems with accuracy and attention to detail. Collaborate with production supervisor and quality control teams to ensure customer requirements are consistently met. Maintain a clean, organized, and safe workstation in compliance with company policies. Stay current with evolving IT hardware trends, repair methods, and refurbishing best practices. Qualifications Education, training, and technical certifications (CompTIA A+) desired. 5+ years of hands-on experience in computer repair, with proven expertise in advanced diagnostics and system rebuilding. Must have experience leading & coaching Tier 1 and Tier 2 technicians. Strong knowledge of hardware components, BIOS/UEFI, firmware updates, and system imaging processes. Ability to diagnose and repair down to the component level (e.g., soldering, board-level troubleshooting a plus). Must have experience in a goal-driven production/ITAD warehouse environment. Must have experience in refurbishing processes and quality standards. Proficient in using diagnostic tools, repair software, and documentation systems. Strong problem-solving skills and attention to detail. Excellent communication skills with the ability to support and mentor less experienced technicians. Ability to lift up to 50 lbs. and stand for extended periods in a warehouse setting. PlanITROI Core Values: Driven & Confident Think Win/Win Always Own IT/Solve IT Personal Growth leads to Professional Growth Innovate & Revolutionize the World Proud to be Part of the PlanITROI Team The expected salary range for this position is $18.00-$22.00 per hour. PlanITROI offers a comprehensive benefits package, including health insurance, a 401(k) with company match, paid time off, and more. We are an Equal Opportunity Employer and value diversity at all levels of the organization. Visit our websites for more information: PlanITROI.com | NextraTech.com | BuyRefurbished.com

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

We are seeking 3D modeling specialists with expertise across hard surface and organic modeling to create accurate, production-ready digital assets from 2D reference material. This includes replicating real-world objects, environments, and living forms with volumetric fidelity. What You’ll Do Translate 2D reference images into precise 3D models, ensuring accuracy in geometry, proportions, and topology. Source supplementary references to resolve occlusions, blurry details, or incomplete imagery. Produce high-quality models across distinct asset categories: Hard surface: vehicles, props, machinery. Organic: humans (including realistic digital doubles), animals, plants, and natural forms. Environment & architecture: buildings, landscapes, set pieces, and world assets. Iterate on models based on feedback, aligning assets with project quality standards and artistic direction. What We’re Looking For Bachelor’s or Master’s degree in 3D Art, Animation, Game Design, Computer Graphics, or related field, or equivalent professional experience. Demonstrated proficiency in industry-standard modeling tools (e.g., Maya, Blender, ZBrush, Houdini, 3ds Max) and familiarity with texturing/UV workflows (e.g., Substance Painter, Mari). A portfolio showcasing a range of hard surface, organic, and environmental assets, ideally for film, games, AR/VR, or other interactive media. Strong understanding of anatomy, form, and material definition. Ability to clearly communicate process and problem-solving steps (“show your work”). Comfortable in iterative pipelines, with a collaborative mindset and openness to feedback We offer a pay rate of $22 per hour. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Employment type: ContractWorkplace type: RemoteSeniority level: Entry Level

The Computer Engineer II performs engineering work involving research, design, development, testing, and evaluation of computer hardware, software, and integrated systems. The role supports tasks across the system lifecycle, applying principles of computer science, mathematics, electrical engineering, and systems engineering to develop effective computing solutions. Responsibilities include hardware design, software development, network engineering, troubleshooting, and technical documentation. General Duties: Design, develop, test, and evaluate computer hardware components including chips, circuit boards, processors, and peripheral devices. Develop, test, and evaluate computer software systems supporting hardware and network operations. Design algorithms, data structures, and software architectures based on user and system requirements. Analyze user needs and develop new software applications or system-level solutions. Support development and testing of computer networks, distributed systems, and communication protocols. Conduct system integration, troubleshooting, and performance optimization. Apply programming languages such as C, C++, Java; familiarity with Fortran or COBOL is beneficial. Prepare engineering reports, design specifications, test documentation, and technical presentations. Collaborate with engineers, developers, technicians, and program teams. Participate in technical reviews, requirements discussions, and engineering working groups. Required Education: Bachelor’s degree in Computer Engineering, Electrical Engineering, Electronics Engineering, Mathematics (with concentration in computer science), or a related discipline. Required Experience: 3 years of professional experience in computer design, software development, or computer networks. Skills & Competencies: Strong understanding of computer hardware and software engineering principles. Proficiency in programming languages (C, C++, Java). Experience with system design, testing, troubleshooting, and integration. Strong analytical, mathematical, and problem-solving abilities. Ability to work independently and in engineering teams. Effective communication and technical documentation skills. ​​​​​​​ What Your Experience Working for Us Will Be Like Ask any of our employees and they will tell you SSI is a great place to work with an upbeat and positive culture. We take pride in our work to continuously improve on our performance in a manner that enhances the mission of the agencies we serve while expanding opportunities for our employees and our company. About Synectic Solutions, Inc. (SSI) Synectic Solutions, Inc. (SSI), is an award-winning, 20-year government contracting agency focused on the areas of logistics, engineering, management, and information technology. SSI is a growing organization committed to exceeding customer expectations, to continually improving all products, services, and processes, and to perform all work with the commitment to upholding the highest standards and ethics. Ready to apply? If this job sounds like a fit for you, then click on the ‘apply’ button below. Good luck! 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.

Computer Vision AI Engineer The Opportunity: Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data. The successful candidate will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success. In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time. What You'll Work On: Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking. Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python, C++, and Rust. Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications. Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust. Join us. The world can't wait. You Have: 5+ years of experience in artificial intelligence, data science, machine learning engineering, or software engineering Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM Experience in sensor fusion and target tracking Experience with developing technical solutions using Python, C++, or Rust Ability to obtain a Secret clearance Bachelor's degree in Science, Technology, Engineering, or Mathematics Nice If You Have: Experience with embedded systems programming in C, C++, or Rust Experience in GPU programming, including CUDA or RAPIDs Experience with developing in-space solutions Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment Master's degree in Computer Science, Artificial Intelligence, or a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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.

The Electrical and Computer Engineering (ECE) department within Grand Valley State University's Padnos College of Engineering invites applications for a tenure-track faculty position at the Assistant Professor level to start in August 2026, subject to funding approval. This position will support the continued growth of GVSU's Electrical and Computer Engineering department. The Computer Engineering Program offers ABET-accredited Bachelor of Science in Engineering (BSE) degrees as well as a Master of Science in Engineering (MSE) degree. The BSE program includes mandatory co-operative education and an extensive experiential learning component. The MSE program emphasizes professional practice as well as applied research. Partly sponsored by local industry, our programs yield industry prepared or graduate school-ready engineering graduates in support of diversified industries and research institutions. The new hire will be expected to engage in high-quality mentoring and teaching at both the undergraduate and graduate levels, contribute to an environment of inclusive excellence, develop a research program that includes both undergraduate and graduate students as well as external funding, and participate in departmental and professional service. Priority will be given to applicants with teaching and industrial experience as well as experience related to project management. Required Qualifications and Education: Doctoral degree in Computer Engineering or a closely related field. Excellent verbal and written communication skills. Commitment to delivering high-quality laboratory and project-based teaching. Expertise with electronic instrumentation and proficiency in C and Python programming. Applicants with expertise in all areas of computer engineering are encouraged to apply. Preferred Qualifications: Preference may be given to applicants with: Teaching and industrial experience, along with experience related to recruiting and managing industrial grade projects. An ability to participate in and capitalize upon existing collaborations with our West Michigan industrial partners and with a history of external funding. Expertise in the following areas: Hardware/Embedded security, firmware development, network intrusion, penetration testing, machine learning, artificial intelligence, computer vision, VLSI or related interdisciplinary domains. Responsibilities - Essential Functions: Teaching in undergraduate and graduate courses across the ECE curriculum Expected to demonstrate excellent laboratory skills, manage class projects, and foster a hands-on learning environment. Support co-op-education, project-based curriculum as well as industrial collaborations. Provide service to the unit, college, university, community and profession. Salary & Benefits: Minimum starting salary of $90,000, commensurate with experience. Comprehensive benefits package including medical, vision, dental, life insurance, generous employer retirement contributions, wellness resources and tuition waiver effective on date of hire. Department/Division: Electrical and Computing Engineering Department/Computer Engineering Campus Location: Robert C. Pew Grand Rapids Campus, Grand Valley State University, 301 Fulton Street W., Grand Rapids, MI 49504-6495 How to Apply: Please Include a (1) letter of interest or nomination, (2) curriculum vitae, (3) statement of teaching philosophy, and (4) at least three references. The online application will allow you to attach these documents electronically. On the application, you will be required to provide names, address, phone numbers, and e-mail addresses for three professional references. Applicants selected for interviews will be required to submit official transcripts prior to the interview. If you need technical assistance, email Human Resources at hro@gvsu.edu. Questions about the position may be directed to the search Chair, Chirag Parikh at parikhc@gvsu.edu. Application Deadline: Consideration of applications will begin immediately and the posting may be closed at any time at the discretion of the University. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Must have the physical stamina to work long hours and/or more than 5 days per week. The requirements listed are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The information contained in this job description is for compliance with the Americans with Disabilities Act as amended by the ADA Amendment Act (2008), Section 504 of the Rehabilitation Act of 1973, and other applicable federal and state laws that prohibit discrimination on the basis of disability. GVSU will provide reasonable accommodations to qualified individuals with disabilities upon request. See www.gvsu.edu/equalopportunity/. TDD Callers: Call Michigan Relay Center at 711 (in State) or 1-800-833-7833 (out of State). Grand Valley State University is an Antidiscrimination/Equal Opportunity Employer, which includes providing equal opportunity for protected veterans and individuals with disabilities. University policy extends protections to additional identities.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Our Warfighter Systems division is pioneering a future where mixed reality (MR), creates immersive, intuitive, and life-saving technologies. By seamlessly integrating real-time data with cutting-edge visualization tools, we are empowering warfighters with unparalleled situational awareness, enhanced training experiences, and operational superiority. This team is consistently pushing the boundaries of what's possible, and shaping a future where technology and defense unite to protect our nation. ABOUT THE JOB Come join one of the strongest performing mixed reality teams in the industry, dedicated to revolutionizing experiences for the warfighter. You will solve challenging computer vision problems arising in calibration of soldier-borne visual augmentation devices and provide geometric characterizations of cameras, sensors, and displays necessary for sensing and interpreting environmental data. This role requires a blend of deep technical expertise and creative problem-solving skills as you contribute to national defense initiatives while pushing the boundaries of mixed reality. WHAT YOU WILL DO The Computer Vision Software Engineer will focus on developing novel camera, sensor, and display calibration solutions (both offline and online) and elements of vision-based pose estimation systems to enable key functions in visual augmentation devices, including navigation and environment understanding. This role involves: Designing and developing calibration and tracking/localization algorithms using standard computer vision techniques such as bundle adjustment, feature detection and matching, pose computation, and homography fitting. Creating testing and evaluation frameworks for advanced geometric solutions, designing experiments, analyzing experimental and production data. Developing manufacturing workflows in collaboration with mechanical engineering and manufacturing teams. REQUIRED QUALIFICATIONS: Must be a U.S. Person due to required access to U.S. export controlled information or facilities. BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field. Ability to code in C++ and Python. Understanding of fundamental computer vision concepts, e.g., camera projection, image distortion, rigid transformations, and constraints involving two or more views. Prior exposure to geometric computer vision (SLAM, Camera Calibration, Stereo Vision, Photogrammetry, or similar) in academic or professional work. Good communication skills for effective collaboration with hardware, software, and manufacturing teams. PREFERRED QUALIFICATIONS: MS or PhD in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field. Experience with multi-camera systems, camera calibration techniques and tools. Experience with mathematical packages in C++ and Python (e.g., Ceres, Eigen, NumPy, SciPy). Familiarity with numeric computing platforms such as MATLAB, Octave, or Jupyter. US Salary Range $191,000-$253,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development Commuter Benefits: Company-funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ .

Title: Senior Computer Scientist Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS) division delivers mission engineering solutions for critical U.S. Army programs, specializing in aviation and ground systems, integrated air and missile defense, and threat and target systems. As a trusted partner of the U.S. Department of War, MAGS provides innovative, technology-driven solutions to enhance national security. With a global presence and a strong ethical framework, KBR ensures secure, effective, and mission-ready capabilities worldwide. Job Summary As a Senior Computer Scientist, you will play a critical role performing research, developing models and simulations, optimizing software efficiency, and analyzing results. You will work as part of a collaborative team of engineers and software developers to develop models and simulations of defense systems. Applicants will also be tasked with developing a simulation framework to ensure operability between various simulations including developing, testing, and maintaining interfaces and APIs. This position is ideal for someone who is highly organized, thrives in a dynamic, fast-paced environment, and enjoys researching and developing new skills. Key Responsibilities: Develop software in conjunction with engineering team to simulate defensive systems. Lead software development teams. Use configuration management tools such as GIT, Gitlab, or DevOps as part of the software development process. Use Continuous Integration/Continuous Development (CI/CD), DEVSECOPs, and Agile processes to meet development goals. Develop containers and Kubernetes for software deployments. Optimize software for run-time performance. Lead simulation framework activities including development of APIs. Perform software testing. Qualifications and Skills Requirements: Computer science degree from accredited university. 10-20 years of experience. Ability to obtain and/or maintain a DoD secret clearance. Programming experience in Python and C/C++. Experience with GIT, Gitlab, or DevOps (or similar) required. Experience with containerization and Kubernetes required. Linux and Windows software development environments experience. Experience with missile defense systems is highly desirable. Experience in physics-based models and simulations preferred. Excellent written and verbal communication skills, strong social skills, and ability to build consensus among peers while building solid relationships with team members, leadership, and customers. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Otter Tail Power Company is currently seeking a qualified student applicant to fill an Electrical or Computer Engineering Intern position in Fergus Falls, MN. The timeframe for this Intern position is from mid-May to mid-August 2026. The duties of the Intern may include: Using industry available tools to analyze power quality data such as voltage and power factor. Identifying trends in power outage reports to find root cause and impacts to reliability goals. Monitoring the performance of the distribution grid using our AMI (Automated Metering Infrastructure) Aid in software development, web page dashboard design, and querying data from a database. Creating advanced spreadsheets with charts, pivot tables, and custom formulas to filter data. Utilizing AI responsibly to improve workflows automating portions of data analysis tasks. Working closely with engineers, system operators and multiple departments within the OTP team as required to facilitate job duties. Qualifications Applicants must be a full-time student in the electrical engineering, computer engineering, or computer science related curriculum. Seeking students with a fundamental background in circuit analysis, programming, and working with datasets. The successful candidate is expected to have strong oral & written communication skills and the ability to work together with different departments within the company. Some travel may be required. The expected base compensation for this role is $17- $24 hourly. Resume deadline To apply, visit our careers page at www.otpco.com. Applications accepted through January 12, 2026.

MICRO CENTER is the nation's leading computer and electronic device big box retailer! Our technology superstore has an industry-leading 40,000+ selection of premier computer products and the most knowledgeable staff in the business. Passion, Energy & Commitment describe life at Micro Center. We are passionate about customer service and developing long-term customer relationships. We are looking for those who are committed to these same values. We are currently seeking a self-motivated, results-oriented ASSISTANT STORE MANAGER - COMPUTER SERVICES. It is Micro Center's core promise to take care of our associates and customers which has led to our success over the last 40+ years! Salary range of $60,000 - $80,000.00 + Bonus Click here to view our job video MAJOR RESPONSIBILITIES: Maintain orderly operation and safety of all areas of responsibility; ensure that service policies and procedures are being properly carried out at the store level Consistently achieve customer satisfaction, sales, productivity, payroll and expense goals of the service repair shop Maintain fiscal and operational controls including planning and managing departmental budget (Service Department P&L) Through Service Department leadership, ensure all customer and/or computer issues are resolved in a timely manner and in alignment with company policy Ensure customers are served promptly and courteously and that customer satisfaction standards are met Work effectively through associates to achieve desired results regarding customer satisfaction, sales, productivity and technical solutions Ensure associates maintain appropriate technical certifications (CompTIA A+ and Apple Certification) to enable proper service of products Participate in and lead open and close procedures, to include freight flow and merchandise processing as well as tracking of company assets through inventory control Serve as manager-in-charge during absence of General Manager or other store managers Ensure the execution of ad set and visual merchandising standards Manage staffing, orientation and training to ensure competent and certified associates are hired, trained and scheduled to properly service our customers Develop and coach associates in the areas of customer satisfaction, product knowledge, solution selling and standard operating procedures; ensure goals and results are communicated Ensure human resource issues are handled in accordance with guidelines; partner with Regional HR Manager and Store Manager when needed Perform other duties and tasks as assigned EDUCATION & EXPERIENCE: A college degree is preferred Two or more years of experience with a major big box retailer in a high-volume, 30,000+ square-foot store, preferably in a productivity-based computer or technology service and repair environment Previous experience in all aspects of retail management: driving sales, merchandising, operations, freight flow and technical customer service Experience in human resources functions and capable of hiring, retaining and coaching qualified employees Ability to execute corporate initiatives and analyze the competition Physical requirements: lift up to 50 lbs., stand for prolonged periods of time Shifts include hours before and after the store is open to the public and may also include mornings, nights, weekends and holidays Experience within the consumer electronics industry is strongly preferred, with direct accountability for achieving P&L and customer satisfaction targets MICRO CENTER OFFERS EXCEPTIONAL BENEFITS: Medical, Dental and Vision Benefits Coverage for Regular Full-Time Associates Employee Discount that includes a Friends & Family Discount Program Tuition Reimbursement & Education Discounts Paid Time Off for Regular Associates 401K Plan with company match Esteemed Vendor & Company Job Training Career Advancement Opportunities OUR GROWTH OPPORTUNITIES: At Micro Center, we empower our employees to set their sights high and blaze their own trails. This is a place where your future success and growth are truly a result of your own efforts and achievements. Our teams are made up of motivated individuals who work hard to advance their careers. Join our team and see how hard work, loyalty, competitive spirit and unwavering commitment to the customer can take you and your career to new places. Micro Center is an Equal Opportunity Employer.

MICRO CENTER is the nation's leading computer and electronic device big box retailer! Our technology superstore has an industry-leading 40,000+ selection of premier computer products and the most knowledgeable staff in the business. Passion, Energy & Commitment describe life at Micro Center. We are passionate about customer service and developing long-term customer relationships. We are looking for those that are committed to these same values. We are currently seeking self-motivated, results-driven RETAIL COMPUTER TECHNICIANS, starting at $15/hour base pay with productivity incentives to increase hourly rates up to $18-$35 + SPIFFs. If you have a passion for computers and want to have a high earning potential based off your productivity, then Micro Center is the place for you! You'll be spending up to half your time at the Service Counter, where you will be easing customer concerns by walking them through their comprehensive service options that will result in repeat customers for life, all while having the opportunity to earn uncapped commissions. The rest of your time will be spent in the shop diagnosing and repairing various computer devices and providing constant communication to your customers regarding their repair status. Click here to view our job video MAJOR RESPONSIBILITIES: Provide in-person consultations and troubleshooting to customers at the service counter on a variety of computers, computer-related equipment and other retail products sold in the store Recommend various service solutions including, but not limited to, data backups, anti-virus, extended warranties, and support subscriptions Identify, diagnose, and document hardware failure(s) or software problems on a variety of electronic devices including, but not limited to, desktops, laptops, mobile phones, TVs, and monitors Assemble custom computers sold by our expert build-your-own (BYO) sales team Understand and utilize technical manuals and support resources while maintaining appropriate technical certifications and vendor certifications, while keeping up to date on retail products and current technologies Maintain a cash till, handle customer transactions, and maintain the department by ensuring a clean work area is maintained and inventory is accurately tracked Provide timely, complete, and accurate information directly to customers via face-to-face, telephone, text, and email communication regarding their service event on a constant basis EDUCATION & EXPERIENCE: High School diploma or equivalent with one-year related computer service repair or technical customer service experience strongly preferred CompTIA A+ certification or Apple ACMT and ACiT certifications, or the ability to be certified within 90 days of hire. *Apple certifications highly desirable Excellent communication & interpersonal skills combined with ability to multi-task and adjust priorities Physical requirements: lift up to 50 lbs., stand for prolonged periods of time Shifts include hours before and after the store is open to the public and may also include mornings, nights, weekends and holidays MICRO CENTER OFFERS EXCEPTIONAL BENEFITS: Flexible Schedules & Excellent Pay Medical, Dental and Vision Benefits Coverage for Regular Full-Time Associates Employee Discount that includes a Friends & Family Discount Program Tuition Reimbursement & Education Discounts Paid Time Off for Regular Associates 401K Plan with Company Match Esteemed Vendor & Company Job Training Career Advancement Opportunities OUR GROWTH OPPORTUNITIES: At Micro Center, we empower our employees to set their sights high and blaze their own trails. This is a place where your future success and growth are truly a result of your own efforts and achievements. Our teams are made up of motivated individuals who work hard to advance their careers. Join our team and see how hard work, loyalty, competitive spirit and unwavering commitment to the customer can take you and your career to new places. Micro Center is an Equal Opportunity Employer.

Computer Vision AI Engineer The Opportunity: Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data. The successful candidate will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success. In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time. What You'll Work On: Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking. Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python, C++, and Rust. Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications. Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust. Join us. The world can't wait. You Have: 5+ years of experience in artificial intelligence, data science, machine learning engineering, or software engineering Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM Experience in sensor fusion and target tracking Experience with developing technical solutions using Python, C++, or Rust Ability to obtain a Secret clearance Bachelor's degree in Science, Technology, Engineering, or Mathematics Nice If You Have: Experience with embedded systems programming in C, C++, or Rust Experience in GPU programming, including CUDA or RAPIDs Experience with developing in-space solutions Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment Master's degree in Computer Science, Artificial Intelligence, or a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

The University of Colorado Colorado Springs will not sponsor work visas or permanent resident applications for this position Assistant Teaching Professor - Electrical and Computer Engineering College of Engineering and Applied Science Elevate Your Career at UCCS: Innovate, Inspire, and Impact in the Rockies! Who We Are The University of Colorado Colorado Springs (UCCS) is a premier educational institution that prides itself on academic excellence, research, and community engagement and is actively seeking an Assistant Teaching Professor to join our team! UCCS is committed to academic excellence, professional development, and fostering an environment that supports innovation and student success. At the base of the Rocky Mountains, Colorado Springs is captivated by its stunning landscapes, making it a paradise for nature lovers. This city is more than its scenery-a mosaic of history, arts, and a vibrant tech scene. We invite you to join a community that cherishes outdoor adventure as much as forward-thinking growth, an exceptional setting for both career and lifestyle. Salary Range: $ 69,000 - $77,000 per academic year. Compensation will be commensurate upon experience and qualifications. This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions. Benefits at a Glance Want to know your total compensation? Use our calculator to get the complete picture! CU advantage Summary The Assistant Teaching Professor will teach undergraduate courses and labs including but not limited to: Introduction to Robotics, Logic Circuits I & II, Microcomputer/Microprocessor Systems, C Programming, Signals and Systems, Circuits and Systems, Physical Electronics, etc. Assistant Teaching Professors with appropriate professional experience or a Ph.D. may teach higher level courses. This position does not allow research during the academic year. Visit here to learn more about the Electrical and Computer Engineering Department and academic programs. Other activities may include: Curriculum development including the development of new courses. Guiding undergraduate students in independent studies. Developing and teaching distance courses. Advising undergraduate majors. Participating in departmental committees and meetings. Other as assigned by the Chair. Essential Functions The duties and responsibilities of the position include, but are not limited to: Teaching (80%) This is equivalent to 8 courses (24 semester hours) per academic year. This position will primarily teach first- and second-year undergraduate courses, fundamentals of signals, digital design and microprocessor/microcomputer design. Other classes may be assigned as needed. Classes may be in-person, online, or hybrid. Service (20%) Engage in service activities to support the University, city, state, region, nation and/or professional associations. Tentative Search Timeline Priority will be given to applications submitted by: February 8, 2026. Potential interview dates: weeks of March 2 (initial) and March 30 (final), 2026. Potential start date: August 17, 2026. CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. In accordance with the Equal Pay for Equal Work Act, UCCS does not discriminate based on sex in our employment or compensation practices. To be considered for this role, you must possess an MS in Electrical Engineering or Computer Engineering and have at least four months of teaching experience (lecture) as instructor of record or the equivalent in a US academic setting. Knowledge of Verilog (hardware description language) programming is required evidenced in transcript. The ideal candidate will have a Ph.D. in Electrical Engineering or Computer Engineering, multi-year teaching experience (lecture & lab) at the college level, and experience with delivery of online courses. Multi-year experience in digital system design using Verilog is preferred.

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

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Team The Computer Use Agents team aims to develop LLM agents that can use computers the way (or better) human use today. The team will build the base towards the goal of Macrohard - an autonomous AI software company. About the Role In this role you will: Build the best in class Computer Use Agents focussing on automating repetitive processes, building and testing software, performing long-horizon tasks (e.g. research, plan and execute on a complex task). Design RL algorithms, reliable and efficient tools for agent to learn by interacting w/ realistic environments. Work closely with the team to acquire data, build relevant evaluation suites and good product experience. Exceptional candidates may have: Extensive experience developing and implementing reinforcement learning (RL) algorithms for intelligent agents, with a focus on agent-based systems. Proven expertise in designing and training purely vision-based RL agents or algorithms, leveraging visual inputs for decision-making. Demonstrated ability to translate research ideas inspired by real-world use cases into deployable models or agents, successfully delivering them to end users. Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.