Embodied AI Engineer – Controls
AIM
full-time
Posted on:
Location Type: Hybrid
Location: Seattle • Washington • United States
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Tech Stack
About the role
- Automate, Develop, implement, and validate advanced control and learning algorithms for real-world embodied robotic systems.
- Design and conduct experiments to expand control robustness, precision, and adaptability across diverse tasks and environments.
- Combine classical and learning-based control methods for scalable and reliable skill acquisition.
- Collaborate with perception and systems engineers to integrate AI control stacks into production platforms.
- Leverage simulation, digital twins, and expert demonstrations to accelerate control policy development and deployment.
- Stay up-to-date on cutting-edge research in control theory, reinforcement learning, and embodied AI.
Requirements
- 5+ years industry experience
- Proven experience delivering production-level robotic control systems in real-world deployments
- Strong foundation in modern control techniques
- Deep understanding of reinforcement learning, imitation learning, and optimization for dynamic systems
- Proficiency in Python and familiarity with C++ for real-time robotics applications
- Experience working with high-fidelity simulators
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
control algorithmslearning algorithmsreinforcement learningimitation learningoptimizationPythonC++robotic control systemshigh-fidelity simulatorscontrol techniques
Soft Skills
collaborationcommunicationproblem-solvingadaptabilitycreativity