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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 eleven (11) years of experience and a Bachelor's degree; or Seven (7) years of relevant experience and a Doctoral degree; or Nine (9) years of relevant experience and a Master's degree; or Thirteen (13) years of relevant experience and an Associate's degree; or Thirteen (13) 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: $101,768.87 - $223,891.52

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.

Provides quality education and maintains high standards of academic excellence in teaching assigned courses in the discipline. The Adjunct hybrid faculty roles teach assigned courses in person and asynchronously online. This role also maintains office hours as assigned. NOTE: Applications must include copies of ALL unofficial transcripts to receive full consideration. Campus Location: Washington, D.C. Strayer Campus Address: 1133 15th St NW #200, Washington, DC 20005 Essential Duties & Responsibilities: Are you looking for a rewarding career where you can change lives? Strayer University is seeking a dynamic Adjunct Faculty member to join our academics team. We are currently in search of a passionate professor for undergraduate level Computer Information Systems class for the upcoming Winter quarter, starting January 5th in a hybrid format. The hybrid format is described as teaching the course in both the in-person and online modalities. This role requires 11 in-person meeting sessions for 2 hours every week held at a predetermined scheduled time (day/evening) at a specific Strayer University Campus. The balance of the course is instructed asynchronously online. Strayer Adjunct Faculty are not just instructors; they are also coaches and mentors. Our faculty members strive to ignite a life-long love of learning in our students and to be flexible with their diverse learning styles. We believe in a strong faculty-student relationship and building a community in the classroom. Teach courses as assigned from a pre-designed curriculum and utilize your professional expertise to provide high-quality instruction. Enhance the strength and effectiveness of the curriculum using technology and videos. Arrive on-campus at least half an hour prior to the start time of in-person sessions per week during the academic quarter. Utilize the online learning platform to enrich the student learning experience for the online component of the course. Be available to students via email, phone, text, and office hours to ensure students receive quality feedback in a timely manner to support their academic success. Establish high standards and ensure students understand how they will be evaluated. Adhere to University policies and procedures. Attend faculty meetings and workshops or training as required. Job Skills: Demonstrated knowledge of academic technology. Proficient with Microsoft Office (Excel, PowerPoint, etc.) software and overall computer skills. Demonstrated knowledge of academic evaluation. Proficiency in oral presentation skills, planning, and organizing of course objectives. Must have strong computer skills (Excel, PowerPoint, etc.). Excellent oral and written communication skills. Effective time management skills. Work Experience: Teaching experience at the college level and online teaching experience are strongly preferred. 5 years of professional experience in Computer Information Systems, Information Technology, Computer Technology, etc. required. Some professional experience in Cybersecurity, Information Assurance, IT Security, Computer Security or Forensic Management is required. Education: Doctorate degree in Computer Information Systems, Information Technology, Computer Technology, Cyber Security, etc. required Certificates, licenses, and registrations: Professional certification in discipline specialty (if applicable). Other: Must be able to travel weekly to required location(s). Must be able to lift 25 lbs. Typical office setting. Mobility within the office including movement from floor to floor. Travel via plane, car, and metro may be required to perform this job. Must be able to work more than 40 hours per week when business needs warrant. Access information using a computer. Effectively communicate, both up and down the management chain. Effectively cope with stressful situations. Strong mental acuity. Regular, dependable attendance and punctuality are essential functions of this job. Other essential functions and marginal job functions are subject to modification. Who we are Work is changing. The economy is rapidly transforming. We're innovating education and transforming learning to help people prepare for the workforce - today and in the future. Our INNOVATION is powered by the belief that today's workforce cannot be supported by yesterday's education. To be RELEVANT now and in the future, we need to transform learning to create an experience that delivers RESULTS. About- Careers- Who We Are, Strategic Education, Inc. Leadership behaviors At Strategic Education, Inc., our leadership behaviors guide everything we do and the culture we're building. They unite us in delivering on our mission. They reflect the way we approach our work and treat each other. They inspire us to do the right thing for our students, as well as for our employees. They represent who we are and what we aspire to be. About- Careers- Leadership Behaviors, Strategic Education, Inc. #LI-LJ1 Applicants must be authorized to work in the United States. Visa sponsorship is not available for this position. $2,300-$2,600 is the expected starting pay per online assignment for this position per quarter and $3,000 is the expected starting pay per on campus assignment for this position per quarter. If your location is near a campus, on campus teaching may be required. Current and future assignments are based on the additional factors outlined below. SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable. Careers- Our Benefits, Strategic Education, Inc SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. Strayer University Adjunct Faculty are compensated based on the number and type of course(s) that are taught in a given quarter. Currently, compensation for courses ranges from $2,300 - $3,100. If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.

Position Overview Bobyard solves non-trivial CV problems in order to automate takeoffs for contractors. We can save them dozens of hours for each project easily. This requires a complex system of models that produce better than human results. You will have very high autonomy in designing, executing, and iterating on products. We are a startup, and we move fast. You will be the world’s leading expert on the products you build. We look for world-class engineers who have both a vision for the product but also the ability to go heads down and produce exceptional code. You will be responsible for developing state-of-the-art CV algorithms and models for segmentation, object detection, OCR, one-shot learning, and PDF vector reading techniques. You will take the products you work on from 0 to 1. Desired Attributes Learning Rate: Ability to adapt and learn new technologies and frameworks swiftly Passion: Startups are not easy, this is not a cushy SWE job at Google Incredibly proud of the code you write and advocate for high standards Benefits Competitive salary plus equity options (target $160k - $200k base + equity) Opportunity to collaborate with a dynamic, driven team Build a massive company This is a full-time & in-person role in the SF Bay Area. Learning rate and dedication are vital factors. If you can prove that you can execute on the products our customers are waiting for at the speed and quality the market demands (or if you can prove that you will acquire the ability to do so fast enough), we would love to work with you.

Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT Who we are The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires-with longer fire seasons, dryer fuels, and faster winds-new ignitions spread faster and put more communities at risk. Today, most wildfires are detected by bystanders and reported via 911, meaning it can take hours to detect a fire, verify its exact location and size, and dispatch first responders. Fire authorities need a faster way to detect, confirm, and pinpoint fires so that they can quickly respond-preventing small flare-ups from becoming devastating infernos. About Pano: We are a 100+ person growth-stage hybrid-remote start-up, headquartered in San Francisco. We are the leader in early wildfire detection and intelligence, helping fire professionals respond to fires faster and more safely-with the right equipment, timely information, and enhanced coordination-so that they can stop a new ignition before it grows. Pano AI combines advanced hardware, software, and artificial intelligence into an easy-to-use, web-based platform. Leveraging a network of ultra-high-definition, 360-degree cameras atop high vantage points, as well as satellite and other data feeds, Pano AI produces a real-time picture of threats in a geographic region and delivers immediate, actionable intelligence. Pano AI is on TIME's list of the 100 Most Influential Companies of 2025! MIT Technology Review listed Pano as one of the top 15 climate tech companies to watch in 2024, and Fast Company named Pano AI one of the Top 10 most innovative companies in AI of 2023. We've also been featured in the Wall Street Journal, Bloomberg, and CNBC News. Pano AI's dozens of government and enterprise customers span 16 states in the U.S., five states in Australia, and BC, Canada, and we are currently monitoring over 30 million acres of land. Pano AI has raised $89M in venture capital funding from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at https://www.pano.ai/ . The Role The Senior Computer Vision Engineer will be a part of the AI team that develops and deploys algorithms to detect, localize, and monitor wildfires from mountaintop cameras and satellite images. The Senior Computer Vision Engineer will develop and maintain systems related to camera capture, localization, visualization, geometric understanding, and computer vision. You'll work with platform engineers to develop novel software solutions to enable real-world handling of a key environmental challenge. As a self-motivated and enthusiastic member of our team, you will work in an agile environment and balance developing critical new features with improving the core technical underpinnings of our system. What you'll do Develop systems that work at the intersection of terrestrial camera and geospatial data and at the intersection of 2D and 3D perception Own the software algorithms that estimate locations, stitch panoramas, and contextually visualize real world information Systematically drive improvements in location/distance estimates and fire detection by improving models, refining techniques and introducing new data sources Optimize our camera capture systems to get the best images for fire detection and understanding Analyze the results and compare between different algorithms to select the most appropriate mechanism In conjunction with our AI platform team, implement algorithms so that they can be deployed to our production systems and drive significant improvements in our business metrics What you'll bring 7+ years of industry experience plus a MS in Computer Science - OR - 5+ years of industry experience plus a PhD in Computer Science 3+ years of industry experience in geometry and imaging aspects of computer vision 3+ years of experience programming in Python Strong problem solving skills Preferred skills Experience working with geospatial data / GIS systems / remote sensing Experience in deep learning aspects of computer vision Experience working with cloud systems Excellent communication skills Pano is an equal opportunity employer committed to recruiting and supporting our team-members regardless of where they come from. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Final compensation for full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, full-time roles are eligible for stock options. Our benefits package also includes comprehensive medical, dental, and vision coverage, a matching 401(k) plan, and unlimited paid time off.

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.)

Work Location Orange, California Work Shift Day – 08hrs (United States of America) Why CHOC? At CHOC, we strive to be the leading destination of children’s health by providing exceptional and innovative care. We are responsible for the overall health of our community’s pediatric population in our hospitals, clinics, and practices. And because of our breadth of care, your career at CHOC can be as diverse and fulfilling as you determine. CHOC’s compensation structure, benefits offerings, and career development programs are geared to helping you achieve your professional and personal goals. Apply now to see where your career at CHOC can take you. Environmental Sustainability Statement Driven by the connection between children's health and a healthy environment, we commit to creating a healthcare model that incorporates environmental sustainability aligned with our mission to protect children's health and patient safety. Job Summary The Manager of Computational Research works closely with Research Computational Science (RCS) leadership to strategize and develop computational solutions to support research and implementation of research findings by providers, researchers, and other associates. Ensures proper communication of the computational science needs of the organization and assists RCS leadership in the development of computational strategies to meet the needs. Requires a hands-on approach in the application of computational approaches for data analyses and prediction of events of interest. Provides direct support to CHOC Research and other departments and groups in the organization interested in research or process improvement that can be fostered through computational reasoning. Assists RI leadership in the development of computational solutions encompassing new algorithms, improvement of existing algorithms, and analysis of data from the electronic medical records of patients. Supports a collaborative environment required to attract, motivate, train, retain, and develop computational scientists in pediatric medicine. Provides mentorship and technical guidance to junior research computational scientists. Pay Range Minimum $147,514 Midpoint $195,458 Maximum $243,402 Rate of pay is determined by various factors, including but not limited to knowledge, skills, competencies, experience, education, as well as position requirements. We’re looking for a visionary leader who is excited about turning cutting-edge research into real improvements in pediatric care. This role is ideal for someone who enjoys working at the intersection of biomedical imaging, data, and AI/ML—and who believes great ideas should move from the bedside, to research, and back to the bedside. In this role, you’ll partner closely with clinicians to identify important clinical questions, lead innovative research, and help translate discoveries into tools that make a real difference for children and families. Responsibilities: Lead the design and deployment of computer vision models that fit naturally into radiology workflows. Set the vision and strategy for how AI/ML is applied in pediatric imaging and care. Stay hands-on with model development and contribute to high-impact research publications. Work closely with clinical, IT, and data science teams to build scalable AI solutions. Help turn research insights into practical tools that improve pediatric outcomes. Ideal Candidate: Experience leading teams and building new programs or capabilities from the ground up. Strong technical background in computer vision, biomedical imaging, and AI/ML. A collaborative leader with high emotional intelligence who enjoys mentoring and inspiring others. A passion for translational research and creating solutions with real clinical impact. If you’re excited about shaping the future of pediatric imaging and using AI to improve patient care, we’d love to hear from you. Experience Required: Minimum four years of experience in the computational and data sciences with a minimum of two year in a health system. Experience in the application of advanced statistical algorithms and computational and data science methods in the analyses of medical data including generalized linear models across a wide range of statistical distributions, time series analyses, longitudinal data analyses, convolutional neural networks, and sequence models. Familiarity with Casual Inference or Bayesian Statistics is also required through prior coursework, publications, or informal studies of these methods. Previous experience with high-level programming languages such as SAS, R Statistical Programming Language, SPSS, C/C++, Python, and TensorFlow, Keras or PyTorch for time series and other sequence data prediction. Experience with SQL programming and data preprocessing for research studies are also required. Previous participation in research during academic training, internships, or prior job experience that resulted in one or more peer-reviewed publications. Education Required: Doctorate in the computational and data sciences including statistics, biostatistics, bioinformatics, and statistical genetics or similar. Specialized Skills Required: Ability to apply advanced statistical algorithms and computational methods in the analyses of medical data including generalized linear models across a wide range of statistical distributions, time series analyses, longitudinal data analysis, and analyses of unstructured data. Expected to be comfortable with the wide range of statistical learning algorithms and development of simulations for empirical statistical analyses using a statistical programming language or C/C++. At least 5 of the following: R Statistical Programming Language, SPSS, SAS, Python, C/C++, SQL, TensorFlow, Keras, PyTorch, and Apache Spark and Hive. Able to relate and communicate positively, effectively, and professionally with others in person and in writing, and on the telephone; think critically, work independently, manage multiple staff and assignments; lead, supervise, teach, and collaborate; accept direction; problem solve, prioritize workload, provide constructive feedback to subordinates, and work well under pressure. Work Environments- Functional Demand: Sedentary- Very light energy level Lift 10 lbs. box overhead. Lift and carry 15 lbs. Push/pull 20 lbs. cart. Physical Activity Requirements: Bending, Carry Objects, Climbing, Keyboard use/repetitive motion, Pinching/fine motor activities, Push/Pull, Reaching forward, Reaching overhead, Sitting, Squat/kneel/crawl (Squad & Knee), Standing, Talk or hear, Taste or smell, Twisting, Walking, Wrist position deviation Physical Activity Lifting Lifting (Floor to waist level) - Occasional 0-35%, Lifting (Waist level and above) - Occasional 0-35% Sensory Requirements: Color Discrimination, Depth Perception, Far Vision, Hearing, Near Vision Environment Requirements: Airborn Communicable Disease, Bloodborne Pathogens, Chemical, Dust Particular Matter, Extreme Noise Levels, Extreme Temperatures, Radiation, Uneven Surfaces or Elevations Non-Discrimination Statement: CHOC does not discriminate on the basis of age, race, color, religion, national origin, ancestry, marital status, genetic information, disability, sex, gender (including pregnancy, breastfeeding, childbirth, lactation or related medical conditions), gender identity or expression, medical condition, sexual orientation, veteran status, military or uniformed service member status, or other protected characteristics in accordance with state and federal laws. We encourage individuals from all backgrounds to apply for positions at CHOC, even if your experience doesn’t align perfectly with the listed qualifications for a particular role, as your unique experience may be a great addition to our culture for another one of our opportunities. If you desire support or accommodations throughout the Talent Acquisition process, please inform your Talent Acquisition Partner.

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 eleven (11) years of experience and a Bachelor’s degree; or Seven (7) years of relevant experience and a Doctoral degree; or Nine (9) years of relevant experience and a Master’s degree; or Thirteen (13) years of relevant experience and an Associate’s degree; or Thirteen (13) 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: $101,768.87 - $223,891.52 _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees. Powered by JazzHR

About Merlin: Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest challenges. About You: You’re a computer vision specialist who loves turning raw sensor data into actionable insights. You thrive at the intersection of algorithms, hardware, and real-world deployment—designing systems that can see, understand, and interact with the physical world. You’re comfortable moving between high-level model development and low-level camera calibration, and you take pride in building robust solutions that work reliably outside the lab. Responsibilities: Develop and implement object detection and identification algorithms for real-time applications. Design and optimize depth sensing and 3D mapping pipelines, integrating data from cameras and other sensors. Specify, configure, and calibrate camera systems, including selection of optics, sensors, and hardware. Develop tools and processes for camera calibration, synchronization, and data acquisition. Fuse data from multiple cameras/sensors to improve accuracy and robustness in perception systems. Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms. Conduct experiments, evaluate performance, and refine algorithms for accuracy, efficiency, and scalability. Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field. Strong experience with computer vision algorithms (object detection, tracking, identification, SLAM). Proficiency in depth sensing and 3D reconstruction techniques (stereo vision, structured light, ToF, LiDAR integration). Hands-on experience with camera setup, specification, and calibration (intrinsic/extrinsic, distortion models, multi-camera rigs). Proficiency with computer vision libraries and frameworks (OpenCV, PyTorch/TensorFlow, CUDA). Experience developing in C++ and/or Python for high-performance vision applications. Strong understanding of camera hardware and imaging pipelines. Ability to design experiments, analyze results, and iterate quickly in a collaborative engineering environment. Nice to Haves: Experience with ROS/ROS2 integration for robotic vision. Familiarity with real-time embedded systems or GPU optimization. Knowledge of multi-sensor fusion (IMU, LiDAR, radar) for perception. Background in calibration automation and large-scale data collection pipelines. This position is based on-site at Merlin HQ in Boston, MA. We offer flexible hybrid in office schedules. We understand that relocating for a new role is a significant decision, and we’re here to support you every step of the way. That’s why we offer comprehensive relocation assistance to help make your transition as seamless as possible. From covering moving expenses to providing guidance on finding housing, we aim to ensure your relocation experience is stress-free. Additionally, once you’re here, you’ll enjoy a variety of on-site perks designed to make your workday enjoyable and convenient. These include catered lunches featuring a rotating menu of delicious options, an assortment of snacks to keep you fueled throughout the day, and a selection of beverages, including coffee, tea, and other drinks, to keep you refreshed. Our goal is to create an environment where you can thrive both professionally and personally Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission. Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status or disability status. All job offers are contingent upon the candidate passing background, and reference checks. At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to people@merlinlabs.com Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.

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

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. We are seeking a passionate and skilled Senior Computer Vision Engineer to lead the development and deployment of high-performance, large-scale AI models. You will focus on optimizing model inference, implementing compression techniques (quantization, pruning, distillation), and ensuring efficient on-device deployment across GPU and custom AI accelerator platforms. Your work will directly enable the next generation of intelligent systems in autonomous driving and beyond. Key Responsibilities: Optimize large-scale multimodal models for low-latency inference and efficient memory usage across diverse hardware platforms. Apply state-of-the-art model compression techniques, including quantization (e.g., INT8/FP16), pruning, and knowledge distillation. Develop and integrate custom inference kernels targeting GPU or custom AI accelerators. Build profiling tools and performance models to analyze bottlenecks and guide optimization strategies. Contribute to real-world deployment efforts in autonomous driving systems, including on-vehicle testing and iteration. Track the latest research in efficient ML inference and integrate relevant techniques into production pipelines. Minimum Requirements: Master's or Ph.D. in Computer Science, Electrical Engineering, or related field. Open to recent graduates. Strong coding skills in C++ and Python with a focus on performance and scalability. Proficient in deploying deep learning models using TensorRT, ONNX Runtime, or TVM. Familiarity with CUDA programming and parallel computing principles. Solid understanding of model inference workflows and system-level performance tuning. Experience in quantization-aware training or post-training quantization. Effective communicator and collaborative team player. Preferred Qualifications: Hands-on experience with deploying vision-language or large multimodal models. Familiarity with low-precision inference (INT8/FP16), kernel fusion, and operator-level optimization. Experience in autonomous driving, robotics, or edge AI applications. Track record of open-source contributions or publications in ML/AI conferences (e.g., NeurIPS, ICML, CVPR). Background in system profiling, latency modeling, or compiler-level optimization. What do we provide: A fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Clearance: TS/SCI w/Full Scope Poly Location: Annapolis Junction, MD Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies. We focus on recruiting talented, self-motivated employees that strive to find a way to get things done. Join our team of experts as we engineer national security! Altamira is searching for a Computer Network Defense Analyst in Annapolis Junction, MD. Job Description: 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. Relevant experience: 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 systems engineering. Additionally, must have experience in network or system administration. If not credited toward education requirements, completion of military training in a relevant area such as JCAC (Joint Cyber Analysis Course), Undergraduate Cyber Training (UCT), Network Warfare Bridge Course (NWBC)/Intermediate Network Warfare Training (INWT), Cyber Defense Operations will be considered towards relevant experience requirement (i.e., 20-24 week courses will count as 6 months of experience, 10-14 weeks will count as 3 months of experience). Degree Types: 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).

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.

This position will work at ECPI University's Virginia Beach, VA campus location. Transform your Career at ECPI University Since 1966, the dedicated employees at ECPI University have helped students achieve their goals via practical training and career-focused education with over 50 Associates, Bachelor's and Master's Programs. Our culture is to prioritize our students' success through the support of our dynamic team and industry focused curriculum. Visit www.ecpi.edu/employment to learn more about how you can help people improve their lives through education. We are seeking Computer Aided Drafting and Design (CADD) professionals to join our faculty team. As a faculty member, you'll provide practical hands-on instruction in an engaging learning environment, incorporating innovative teaching methodologies in order to enhance the learning experience of our students and achieve learning outcomes. This would be an ideal position for a CAD professional who would like to share their wisdom and experience to the next CAD professionals. Our terms are five weeks long, and class sizes are small which give our faculty the perfect environment in which to share their specific industry experience. If you are highly motivated and passionate about teaching, ECPI University may be the place for you. Education/Experience: Master's degree with 18 graduate semester hours in Mechanical Engineering or a related field from a regionally accredited educational institution. Teaching and/or industrial experience in mechanical engineering and/or manufacturing Proficiency in AutoCAD and Autodesk 3D parametric software is required. Experience in architectural, civil, mechanical, structural drafting or CADD is required. Proficiency with Machine Tool Technology, CNC G-Code programming, and CAD/CAM software Appropriate technical certification or licensure (if required.) Five years of industry experience preferred. Comfortable with technology and its integration in the classroom. Skills/Abilities: Excellent oral and written communication Ability to work with a variety of learning styles and skill levels Strong time management skills and detail-orientation Working knowledge of computer applications and the ability to quickly learn new computer software Experience with distance learning or learning management systems (LMS) preferred Benefits of Employment ECPI University provides a comprehensive benefits program designed to help our faculty and staff stay healthy, feel supported, and maintain a work/life balance. To learn more about benefits at ECPI University, click HERE. Committed to excellence and innovation, ECPI University is proud to be an equal opportunity employer.

Description:About Lockheed Martin Space: Space is a critical domain, connecting our technologies, our security, and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more - we can innovate, invest, inspire, and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We're creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security vision. We're erasing boundaries and forming partnerships across industries and around the world. We're advancing spacecraft and the workforce to fuel the next generation. And we're reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that's built for you. About the Team: You'll collaborate with some of the brightest minds in engineering to design and integrate pioneering capabilities that shape the future of our mission. Our high‑impact, cross‑functional team delivers cutting‑edge perception solutions for a variety of mission‑critical platforms. We specialize in classical computer‑vision algorithms-feature detection, stereo matching, optical flow-while also integrating modern AI techniques such as semantic segmentation and learned feature representations. Every solution is engineered with the strict hardware constraints of resource‑limited processors in mind, including the ultra‑low‑power, radiation‑hardened CPUs typical of space‑borne systems. About the Role: We are seeking a Senior Computer Vision Software Engineer who can proactively drive architectural evolution and deliver high‑performance perception code for edge‑deployed platforms. The ideal candidate will: Apply solid software design principles (modularity, testability) to enhance and extend our existing C++/Python codebase Collaborate closely with hardware engineers, optics specialists, system architects, and other stakeholders to transform algorithmic concepts into high‑performance, deployable solutions Write production‑grade C++ code for core functionality, complemented by Python scripts for testing, simulation, and rapid prototyping. Deeply understand the target hardware architecture and its processing constraints to fine‑tune algorithms, maximizing runtime efficiency and extracting every ounce of performance from the processor Contribute to and leverage our Continuous Integration/Continuous Deployment pipelines using tools such as GitLab CI, Google Test, and Docker for automated builds, containerized testing, and seamless delivery. Successful applicants generally have a minimum of 3+ years of related experience and may have a post-secondary degree or training in a related discipline. Basic Qualifications: Skill Requirements: Strong command of C++ (C++14/17/20) and Python; Test‑driven mindset - experience writing unit, integration, and performance tests; familiarity with frameworks such as Google Test Understanding of software design patterns and architectural principles (e.g., SOLID, factory, strategy, visitor, dependency injection) Understanding of core algorithms and data structures (graphs, trees, heaps, dynamic programming, greedy techniques, etc.) Proficiency with modern development tooling - Linux/Unix environments, build systems (CMake), debugging/profiling tools (gdb, valgrind). Collaborative communication skills - comfortable discussing technical trade‑offs with peers, documenting design decisions Security Clearance / Work Authorization: To meet requirements of the program/customer, this position requires the selected employee to be a U.S. Citizen. Although not required to start, the selected applicant must be eligible to obtain, and maintain, Top Secret with adjudicated SCI Eligibility (i.e. TS/SCI) for long term employment on this program Desired Skills: Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related technical field (or equivalent professional experience) with 3+ years of software development experience Familiarity with functional programming languages like Rust Experience with containerization (Docker, Kubernetes) Experience with MATLAB Demonstrated experience designing, implementing, or applying computer‑vision algorithms and/or artificial‑intelligence / machine‑learning techniques Prior work on real‑time or embedded systems Knowledge of GPU/parallel programming (CUDA, OpenCL, OpenMP) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: TS/SCI Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $101,000 - $178,135. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: SPACE Relocation Available: Possible Career Area: Guidance, Navigation and Control Type: Full-Time Shift: First

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 Early Careers 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 roles across the company. If you are selected for consideration for a particular position a member of MITRE's Early Careers recruiting team will reach out to you. You can monitor your application status here: Workday (myworkdayjobs.com). Job Description MITRE leverages deep technical knowledge, engineering expertise, and prototyping capabilities to develop, evaluate, and test creative and practical solutions that facilitate tech transition and inform acquisition. In our electronic systems and engineering role we innovative and practical solutions in the areas of sensing, communications, processing, and more, and works across MITRE to define and deliver technical products to meet critical mission challenges. As a recent graduate working in electrical or computer engineering, you will work with a team to apply your knowledge and gain experience with one or more of the following: Electronic warfare Antennas and electromagnetics Sensors and radars Photonics Signal processing Communications, SIGINT, spectrum, and position, navigation, and timing (PNT) Electronics and embedded security Rapid electronic and hardware prototyping, advanced manufacturing, design, mechanical and reliability analysis Maritime System Development, acoustic & ocean modeling, SONAR system analysis, and transducer design Machine-sensing and perception Basic Qualifications Must have a Bachelor's, Master's or PhD in Electrical Engineering, Computer Engineering or a related degree program Knowledge of electrical engineering theory and one or more of the following: digital signal processing, wireless communications, computer architecture, embedded software, embedded security, cryptography, analog design, RF/EM, sensors and antennas, photonics, power systems, and software architecture and design Sustained excellence in academic performance Preferred Qualifications Experience having applied electrical engineering or computer engineering learning to an internship or research/lab position "Hands-on" skills in at least one or more language Demonstrated interest in serving the public 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: $80,400 - $100,500 - $120,600 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.

Job Description Summary Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Job Description Job Summary: Help invent the future of flight, lift people up, and bring them home safely as a GE Aerospace intern or co-op! At GE Aerospace, safety and quality are our top priorities, and you'll be part of a team that upholds these values while working on challenging, real-world problems to design aircraft engines for commercial and military applications & support through service life. You'll build professional and technical skills in an engineering role, with access to mentorship and training programs. Develop relationships with other interns and leaders while preparing for a potential full-time position after graduation, either through one of our fantastic leadership programs or direct hire opportunities. An Aerospace Engineering Engines Computer and Software Engineering intern/co-op may experience work in an area such as the development of engine controls; gas turbine engine sensors; electrical power systems; vehicle health & data management systems; data collection and computing systems; real-time data analytics; embedded controls; engine test systems and integration. Responsibilities may include design, analysis, testing, writing software requirements, software testing, simulation, tool development, and product/program support. Ultimately, you'll be placed taking your preferences into account while also considering your major, year of schooling, and business needs at the time of placement. Qualifications/Requirements: Minimum 3.0 cumulative GPA off a 4.0 scale without rounding. Attending a full time matriculated and nationally accredited baccalaureate or graduate program in computer engineering, computer science, software engineering, or another related major. Willingness and ability to work in the United States; primarily locations are Cincinnati, OH or Lynn, MA. Reliable transportation, many of our sites do not have public transportation available. Graduation date on or after July 2027. Eligibility Requirements: Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Desired Characteristics: Due to the nature of the work, upperclassmen are preferred Engineering aptitude and passion for aviation technology An analytical approach to problem solving Strong knowledge of computer and Microsoft products Proficiency in at least one programming language Willingness and ability to learn from others Demonstrated leadership and team player Excellent interpersonal skills One who strives for academic excellence and shows great initiative Ability to be agile as business needs change and shift frequently Desire to work in a fast-paced ever-changing environment Benefits: Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city. Equal Opportunity Employer: GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

Job Title: Adjunct Faculty - Computer Information Technology Location: Indianapolis Job Type: Part-time Classification: Adjunct faculty Salary Range: $48.67 Per Contact Hour Reports To: Department/Program Chair All Applications must include a Cover Letter and an Unofficial Transcript Who We Are: We are an open-access college that fuels Indiana's economy through excellence in teaching and proactive engagement with industry and community partners, embedded in a culture of innovation that empowers all students to learn and succeed. We are "higher education at the speed of life!" Our Values: Empathy: We stand with our students, partners, and communities. Integrity: We treat all with dignity and respect. Accountability: We deliver on our commitments. Agility: We innovate, iterate, and transform. Connectivity: We connect with partners to strengthen communities and ensure student success for all. About the Role: Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing effective instruction and assessment within the framework of common syllabi provided. MAJOR RESPONSIBILITIES: Facilitate student learning by delivering assigned classes in accordance with College policy and course objectives. Make optimal use of available technology to enhance instructional methods. Supplement and alter, where appropriate, lesson plans, assignments, tests, and materials. Maintain accurate student records, grades, and other requirements. Engage with students proactively and regularly in meaningful and productive ways that impact student learning and lead to a positive experience with Ivy Tech Community College. Demonstrate evidence of developing and implementing teaching strategies focused on engaging online students with their learning. Interact with students and co-workers in a professional and cooperative manner, complying with College policies, guidelines, and expectations. Maintain a safe, quality online educational environment. Must demonstrate the ability to promote an environment that reflects the broad backgrounds represented by our students and employees in which every individual feels respected and valued. This is not to be construed as an exhaustive list. Other duties logically associated with this position may be assigned. All responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards. EDUCATION AND EXPERIENCE: A qualified faculty member in computer information systems is one who: Possesses an earned master's degree or higher from a regionally accredited institution in computer information systems, management information systems, information technology, computer science or a computer-related degree as appropriate to the course and/or specialty being taught; OR Possesses a related or out-of-field master's degree, from a regionally accredited institution, with documented 18 semester hours or equivalent of courses in a computer, business, mathematics, or engineering-related field as appropriate to the course and/or specialty being taught beyond the introductory principle(s) level; OR Possesses a bachelor's degree in mathematics, engineering, or business/computer related field from a regionally accredited institution as appropriate to the course and/or specialty being taught with documentation in two or more areas of: Professional certification (national, regional, or state) in the field Two years of in-field professional employment Documented evidence of teaching excellence, including date of award Documentation of research and publication in the field Documented relevant additional coursework beyond the bachelor's degree, equivalent to 18 semester hours or equivalent subject matter coursework, CEU's, vendor, or military. Preferred Qualifications: Two years of in-field professional experience with Amazon AWS or Microsoft Azure Working knowledge of Linux operating system. Current CompTIA A+, Net+, or Sec+ certification Extensive knowledge of virtualization Must demonstrate ability to promote an environment that reflects the broad backgrounds represented by our students and employees and which every individual feels respected and valued. All Applications must include a Cover Letter and an Unofficial Transcript Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.

Description: Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly skilled and motivated individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a wide range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers. What you'll be doing: Developing software products that implement Artificial Intelligence to provide cutting-edge solutions to our customers Engaging in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test Participating in activities such as proof of concepts, development of prototypes, building demonstrators, and transition to production Leveraging current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database) Developing code to solve complex problems and field innovative solutions What's In It For You: We offer flexible work schedules and comprehensive benefits, investing in your future and security. Learn more about Lockheed Martin's comprehensive benefits package here. At Lockheed Martin, we empower employees to think big, lead with a growth mindset, and make the impossible a reality. We provide the resources and flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you. Who are you: You are a highly motivated and experienced individual with a strong background in software engineering and computer science You have a strong work ethic, self-motivation, time management, and interpersonal skills You are familiar with current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database) You have experience developing code to solve complex problems and field innovative solutions You are a team player with excellent communication skills and the ability to work effectively in a collaborative environment This role requests an active Secret Clearance to start. #LMLAIC Basic Qualifications: Experience with computer vision machine learning models and techniques Experience with a deep learning library, such as PyTorch, Torch, Keras, Tensorflow, Scikit-learn (sklearn), or opencv Experience with python Desired Skills: Master's Degree in Engineering, Computer Science, or other related discipline. Experience with DevOps tools (Docker/Podman, Git, or GitLab CI/CD) Experience with at least one of the following messaging protocols; Kafka or ActiveMQ or ZeroMQ or DDS Experience with at least one of the following communication protocols; REST or gRPC Experience with Test-Driven Development from both unit- and system/acceptance-level perspectives Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows Experience developing microservices and microservice architectures Experience building and deploying software for defense mission systems Experience with real-time embedded software engineering Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL) Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime) Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices) Experience with high-performance computing Experience interfacing with databases (SQL, MongoDB, etc.) Experience leading other engineers or small teams Familiarity with transitioning prototype software to production Top Secret // SCI Clearance Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First