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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Autonomous Systems Engineer - **Company:** MITRE Corporation - **Location:** McLean, VA, United States - **Salary:** $121,600.0 - $152,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, System Configuration, Machine Learning, Open Source Technology, Rapid Prototyping Process, Software Engineering, Deep Learning, SC Clearance, Information Technology, Virtual Agents, Docker - **Published:** May 19, 2026 - **Apply:** https://careers.mitre.org/us/en/job/R116644 ## About the Role want to make, then choose MITRE - and make a difference with us. ### The Autonomous and Intelligent Systems Department works to enable effective and safe adoption of embodied AI solutions for the most critical challenges. Our technical team of experts, developers, and strategists are helping to realize the benefits autonomy will bring across various sectors including defense, healthcare, transportation, and law enforcement. We bring our unique and unbiased understanding of missions, the innovation landscape, and technology to focus in areas where industry is not incentivized or able to operate to bring insights and solutions to MITRE's sponsors and partners. **Roles & Responsibilities:** - Maintain knowledge of advances of autonomy and robotics capabilities - Leverage technical expertise to evaluate and improve AI/Autonomy system performance - Provide thought leadership centered around autonomy/AI technology adoption on robotics hardware and cloud-based computing environments - Evaluate autonomy or AI solutions and provide guidance to sponsors based on their requirements - Work on topics in robotics-relevant fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems - Build capabilities in one of more growth area for Autonomous Systems (e.g., maritime autonomy, healthcare robotics, space robotics) - Help department and division execute strategy around enabling high-consequence applications of Autonomy, including necessary assurance, T&E, and societal implications **Basic Qualifications:** - Typically requires a Bachelor's degree and a minimum of 2 years of autonomy and AI experience; or an advanced degree with relevant experience who can immediately contribute at this job step; or equivalent combination of autonomy -related education and work experience - Hands-on experience with one or more of the following technical areas: computer vision, deep learning, machine learning, control theory, human-machine teaming, or multi-robot systems - Ability to clearly articulate autonomy-specific challenges (perception, reasoning, behaviors, collaboration), understand real-world application constraints, discuss critical issues, and identify capability gaps - Familiarity with state-of-the-art autonomy research and tools, including ROS 2 and Docker - Ability to work independently to learn new technologies, methods, processes, frameworks, platforms, and systems - Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences - Experience executing autonomy-focused research initiatives - Ability and willingness to obtain and maintain a DOD Secret clearance within 12 months from the date of hire - Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance - This position requires a minimum of 50% hybrid on-site **Preferred Qualifications:** - Advanced degree in related field such as Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, etc. - Experience with software development in a production setting - Knowledge of advances of Autonomy and AI evaluation capabilities in industry and academia - Domain knowledge of swarming systems, red teaming, counter UxS, robotic test and evaluation, agentic AI, manufacturing robotics, and/or missile defense - Experience with configuring and writing software for open-source flight controllers (ArduPilot, PX4. Mission Planner, QGroundControl, etc) - Experience with rapid prototyping, including fabrication and electronics - , Experience with field testing ## Related Videos - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Automated Driving - Why is it so hard to introduce](https://www.wearedevelopers.com/videos/628-automated-driving-why-is-it-so-hard-to-introduce) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)