Senior Autonomous Systems Engineer — Hybrid, Secret-Clearance

MITRE; Bedford (MA); Hybrid; USD 144,000 - 215,000; Full time

Job summary

MITRE is seeking a technically skilled leader to advance autonomy and AI across robotics, sensing, and cloud environments. The role emphasizes strategic evaluation, rapid learning, and collaboration with sponsors to address mission-critical challenges.

The candidate should bring deep expertise in autonomous systems, AI/ML, and hands-on experience with ROS 2 and Docker, along with the ability to manage complex programs and budgets. Hybrid work options available.

Qualifications

• > Typically requires 5+ years in Autonomy/AI with a relevant degree; alternative combos accepted.
• > Broad understanding of autonomous systems across domains (DoD, IC, industry, academia).
• > Deep experience in robotics areas like CV, DL/ML, control, HMI, or multi-robot systems.
• > Ability to articulate autonomy challenges and real-world constraints clearly.
• > Familiarity with ROS 2 and Docker; ability to learn new tech quickly.

Responsibilities

• > Provide technical leadership on cross-functional teams evaluating and improving autonomous systems.
• > Maintain knowledge of advances in autonomy and robotics capabilities.
• > Leverage expertise to evaluate and improve AI/Autonomy system performance.
• > Provide thought leadership on autonomy/AI adoption in robotics hardware and cloud computing.
• > Evaluate autonomy or AI solutions and guide sponsors per their requirements.
• > Work on robotics topics such as computer vision, ML, planning, human-machine teaming, multi-robot systems.
• > Build capabilities in growth areas for Autonomous Systems (e.g., healthcare robotics, space robotics).

Skills

Autonomy

AI

Leadership

Communication

Security clearance

Education

Bachelor’s degree (relevant field)

Master’s degree (relevant)

PhD (relevant)

Tools

ROS 2

Docker

Job description

MITRE is seeking a technically skilled leader to advance autonomy and AI across robotics, sensing, and cloud environments. The role emphasizes strategic evaluation, rapid learning, and collaboration with sponsors to address mission-critical challenges.

The candidate should bring deep expertise in autonomous systems, AI/ML, and hands-on experience with ROS 2 and Docker, along with the ability to manage complex programs and budgets. Hybrid work options available.