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NEXTMOVEFDE careers · United States
Blue Origin

Chief Engineer - ML, Physical AI, & Autonomy

AI summary of the role

Blue Origin seeks a Chief Engineer to lead a 6-8 person ML, Physical AI, and autonomy team, architecting and training models for autonomous lunar surface operations and in-space systems.

What you’ll do

  • Lead design and training of ML models for autonomy, perception, decision-making, and control in space applications
  • Define the simulation and training pipeline for lunar surface and in-space applications
  • Operationalize models — deploy, run, and integrate into Blue Origin systems and infrastructure
  • Recruit, build, and lead a focused team of 6-8 ML/autonomy engineers

What you’ll bring

  • M.S. in Computer Science, Electrical/Computer Engineering, Aerospace Engineering, Robotics, Applied Math, or related technical field
  • 12+ years (Level 7) / 10+ years (Level 6) of progressive experience developing autonomy, robotics, or ML systems for real-world deployment
  • Industry leader in developing AI/ML models and training techniques for physical AI
  • Deep expertise in two or more of: model architectures for Physical AI, computer vision, robotic manipulation, modern ML stack, decision-making under uncertainty, GN&C-integrated autonomy, or multi-agent systems

Technologies

PyTorch · JAX · TensorFlow · ROS/ROS2 · DDS · Isaac Sim · Gazebo · MuJoCo · MATLAB/Simulink · C/C++

About Blue Origin

Builds reusable rockets, engines, lunar landers, in-space systems, and satellite networks for civil, defense, commercial, and human-spaceflight customers.

Bootstrapped · 5000+ people

Source and classification

Deployment team leadership · Evidence for this classification:

focused team of 6-8 engineers. You will define the Digital Twin simulation and training pipeline, train and architect models, deploy them onto our platforms and infrastructure, and shape Blue Origin's strategy in this area. You will engage with peers in academia, industry, and government. You will report into senior leadership and have direct visibility with Executive leadership. Key Responsibilities: Model Architecture & Training: Lead design and training of ML models for autonomy, perception, decision-making, and control in space applications Digital Twin & Simulation: Define the simulation and training pipeline needed for the different lunar surface and in-space applications Platform Integration: Operationalize models — deploy, run, and integrate into Blue Origin systems and infrastructure Team Building: Recruit, build, and lead a focused team of 6-8 ML/autonomy engineers
How jobs are selected

Employer postings · Data from · Sources