Chief Engineer - ML, Physical AI, & Autonomy

Blue Origin; Seattle (WA); On-site; USD 253,878 - 355,429; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Paid parental leave

401(k) with a company match of up to 5%

Stock Options for regular employees

Job summary

Blue Origin seeks a Chief Engineer for ML, Physical AI, and Autonomy to lead a focused team in developing technologies for our next-generation space vehicles. You will define simulation pipelines and train models for autonomous operations on lunar missions.

The ideal candidate possesses an M.S. degree and over 12 years of relevant experience in robotics or ML systems. This role offers a compensation range of $253,878 to $355,429 annually.

Qualifications

• 12+ years of experience developing autonomy, robotics, or ML systems for real‑world deployment.
• Deep expertise in AI/ML models and training techniques for physical AI.
• Excellent technical communication; able to brief executives, customers, and engineers.

Responsibilities

• Lead design and training of ML models for autonomy, perception, and control in space applications.
• Define the simulation and training pipeline for lunar surface and in‑space applications.
• Champion V&V, runtime assurance, uncertainty quantification, and safety cases for space systems.

Skills

Model architectures and training techniques for Physical AI systems

Computer vision and perception

Robotic manipulation

Production‑quality coding skills in Python and C/C++

Decision‑making under uncertainty

Education

M.S. in Computer Science, Electrical/Computer Engineering, Aerospace Engineering, Robotics, Applied Math, or related technical field

Tools

PyTorch

TensorFlow

ROS

Job description

Chief Engineer - ML, Physical AI, & Autonomy

Location: Kent, WA (preferred) | Denver, CO | Florida | Huntsville, AL | Texas | California | Remote consideration

Security Clearance: Ability to obtain a DoD U.S. Secret clearance. U.S. citizenship required.

About the Role

Blue Origin is building a world-class Machine Learning, Physical AI, and autonomy organization to power our next generation of space vehicles, lunar systems, and robotic platforms. Our vision of millions of people living and working in space will require advanced robotics and Physical AI of all kinds. To this end we are seeking a senior ML / Autonomy / Physical AI technical leader to anchor this capability – architecting and training the models that will enable autonomous operations on the lunar surface and across our space systems. We look to fly these capabilities into space and onto the lunar surface on upcoming missions.

This is a Technical leader role for our ML, autonomy, and Physical AI capability, with the mandate to lead a 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
• Technical Strategy: Define autonomy reference architectures spanning lunar surface operations, in‑space servicing, autonomous landing, and orbital robotics
• Cross‑Functional Integration: Partner with GN&C, avionics, software, and systems engineering to translate research advances into deployable autonomy
• Assured Autonomy: Champion V&V, runtime assurance, uncertainty quantification, and safety cases for high‑consequence space systems
• External Engagement: Represent Blue Origin with customers, partners, and academia
• Executive Visibility: Brief Executive leadership on autonomy capability and roadmap

Minimum Qualifications

• 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
• Demonstrated technical leadership of complex multi‑disciplinary efforts
• Deep expertise in two or more of the following:
• Model architectures and training techniques for Physical AI systems
• Computer vision and perception (detection/segmentation, SLAM, visual‑inertial odometry, sensor fusion)
• Robotic manipulation, grasping, and contact‑rich tasks
• Modern ML stack (PyTorch / JAX / TensorFlow), training pipelines, and model deployment
• Decision‑making under uncertainty (RL, MPC, MDP/POMDP, hybrid planning)
• GN&C‑integrated autonomy (rendezvous & proximity operations, hazard detection & avoidance, terrain‑relative navigation, powered descent guidance)
• Multi‑agent / swarm systems and distributed autonomy
• Production‑quality coding skills in Python and C/C++
• Experience taking concepts from research through integrated demonstration
• Excellent technical communication; able to brief executives, customers, and engineers

Preferred Qualifications

• Ph.D. in a relevant technical field
• Prior automotive / AV autonomy, aerospace, defense, or safety‑critical systems experience
• Experience with foundation models / Vision‑Language‑Action (VLA) models for robotics
• Familiarity with V&V for ML/AI in high‑consequence applications (formal methods, runtime monitors, uncertainty quantification, SOTIF/ISO 21448)
• Experience with simulation frameworks: Isaac Sim, Gazebo / Ignition, MuJoCo, MATLAB/Simulink, custom physics engines
• Experience with ROS / ROS2, DDS, or analogous middleware
• Experience deploying ML on edge / embedded / radiation‑tolerant compute (Orin, Versal, rad‑hard SoCs, FPGAs)
• Familiarity with lunar surface operations, cislunar logistics, or in‑space servicing/assembly/manufacturing
• Active U.S. Secret or Top Secret/SCI clearance
• Publications in NeurIPS, ICML, ICLR, ICRA, IROS, RSS, CoRL, AIAA SciTech / GNC, or equivalent
• Experience with proposal writing for NASA / DARPA / AFRL / SDA programs

Compensation Range

WA applicants: $253,878.00 - $355,429.20

Other site ranges may differ

Benefits

• Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long‑term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
• Stock Options for all regular employees (working at least 20 hours/week)
• Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company‑paid holidays.
• Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company’s intent to reward individual contributions and enable them to share in the company’s results, or other factors at the company’s sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated workforce. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws.

For more information on "Know Your Rights," please see here.

Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin’s affirmative action plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at [e-mail]. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.

Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Background Check

• Required for all positions: Blue’s Standard Background Check
• Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
• Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
• Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre‑employment and random drug testing as well as DOT physical