Robotics Engineer I

Blue Origin • Southgate, WA

4d

About The Position

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! - About the Role The New Product Formulation team turns ideas and early concepts into credible products. This role combines robotics simulation, learned manipulation policies, and hands-on hardware to answer the questions that shape new robotic products. You'll build simulation environments, train and evaluate robot manipulation policies, operate real hardware, and run the experiments that inform system-level trades on mobility, manipulation, power, and compute. The work spans the full stack — writing control software in ROS 2 one day, collecting teleoperation data the next, and presenting trade study results to stakeholders by end of the week. If you're energized by switching between a sim environment, a lab bench, and a design review, this is the role.

Requirements

• Minimum of a B.S. degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Aerospace Engineering, or a related field.
• Hands-on experience with real robot hardware through coursework, research, internships, or project teams (e.g., competition robotics, rover teams, lab work).
• Proficiency in Python.
• Working knowledge of C++.
• Familiarity with robot kinematics, dynamics, and control fundamentals.
• Experience with at least one robotics simulation environment.
• Comfort working in a lab: assembling hardware, wiring, debugging sensors, and safely operating robots.
• Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Nice To Haves

• M.S. in a relevant field, or equivalent research experience.
• Experience training or fine-tuning learned robot policies (imitation learning, RL, VLA/foundation models) using frameworks such as PyTorch or JAX.
• Experience with ROS 2.
• Experience with NVIDIA Omniverse, Isaac Sim, or Isaac Lab.
• Experience with industrial or collaborative robot arms (e.g., Universal Robots).
• Experience with physics-based terrain, contact, or soil-interaction modeling.
• Exposure to computer vision and perception for manipulation (pose estimation, segmentation, depth sensing).
• Experience with teleoperation systems or data collection for robot learning.
• Familiarity with designing hardware for harsh or extreme operating environments.
• You've worked across software, simulation, and hardware, and you enjoy switching between them.

Responsibilities

• Develop, train, fine-tune, and evaluate robot manipulation policies (e.g., vision-language-action models, imitation learning, reinforcement learning) on multi-step tasks.
• Collect teleoperation demonstration data and build the data pipelines used for policy training and benchmarking.
• Build and maintain simulation environments in NVIDIA Omniverse, Isaac Sim, and Isaac Lab, including custom terrain, lighting, and physical conditions, and work to close the sim-to-real gap.
• Integrate, bring up, and operate robot hardware, including arms, dexterous hands and grippers, cameras, force/torque sensors, and commercial platforms.
• Write and maintain robot software in ROS 2, including control interfaces, perception pipelines, and safety limits on joints, forces, and workspace.
• Support system-level trade studies for mobility, power, thermal, compute, and communications by running analyses, simulations, and prototype tests that inform design decisions.
• Document results clearly and share findings with the broader team and stakeholders.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level