Robotics Engineer

Machine Learning Engineer On-site full-time position, Middle River, Maryland The Energetics Technology Center, Inc. (ETC) is seeking a full-time mid-Level Robotics and Autonomous Systems (RAS) Engineer with the listed qualifications. This position is not remote-work eligible, and the candidate will be required to be on-site during regular work hours.

This job requires candidates to occasionally work outdoors in potentially adverse terrain and weather conditions. Additionally, this position may require travel 2-3 times a year for a duration of up to two weeks. As a mid-level Robotics and Autonomous Systems (RAS) Engineer, you will support the development and integration of common control systems, AI-enabled autonomy, and simplified Human-Machine Interface (HMI) technologies for robotic platforms at the Robotics Research Collaboration Campus (R2C2) operations site in Middle River, MD: Work independently and/or with a small team to develop, integrate, and test AI/ML-enabled autonomy capabilities and simplified HMI command and control systems on physical robotic and autonomous platforms.

Adapt existing AI-enabled models by developing effective AI/ML strategies and incorporating concepts such as reinforcement learning and generative AI for real-world robotics applications in Denied, Disrupted, Intermittent, and Limited (DDIL) environments. Design, prototype, and evaluate simplified HMI platform command and control interfaces that enhance human-autonomous teaming and can transition into multiple DoD robotic systems.

Conduct collaborative research, prototyping, field experimentation, and testing of RAS, HMI, and AI/ML technologies at the R2C2 multi-terrain facility (dense forests, fields, simulated urban environment, wetlands, and littoral transition areas). Coordinate with ARL researchers to enable successful robotic platform operation, communication, common control, and experimentation in fielded environments.

Gather requirements, document technical solutions, performance data, and experiment results, and present findings to colleagues and management. REQUIRED EDUCATION: Bachelors or higher in Robotics Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or a relevant technical discipline with a focus on robotics, autonomy, or control systems.

EXPERIENCE LEVEL: 2-5 Years Required Skills and Qualifications: Have or ability to obtain DoD 8570 IAT II – minimum CompTIA Security+ CE or equivalent within 3 months of the start date. Currently possesses or ability to obtain a U.S. SECRET security clearance. Strong experience developing, integrating, or deploying AI/ML solutions for robotics or autonomous systems (model adaptation, reinforcement learning, real-time implementation).

Proficiency in Python and experience with robotics frameworks and middleware (ROS/ROS2 highly preferred). Practical experience with physical robotic platforms, sensors, control systems, or field testing of autonomous systems. Strong communication and customer service skills. Ability to present recommendations, technical reports, and findings clearly and accurately to peers, colleagues, and leadership.

Desired Skills and Qualifications: Hands-on experience operating or testing autonomous vehicles, robotic platforms, or unmanned systems in outdoor/multi-terrain environments. Familiarity with Linux operating systems (Ubuntu and/or RHEL derivatives), embedded systems, or edge computing for robotics applications. Experience with Human-Machine Interface (HMI) design, human-robot interaction, or common control systems for multi-platform autonomy.

Knowledge of DDIL communications challenges and autonomy in contested environments. Interest in operating autonomous vehicles and platforms. Familiarity with system and network automation or simulation tools supporting live, virtual, and constructive (LVC) experimentation.