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Blue Origin

Builds rockets, engines and lunar spacecraft

Senior Simulation Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeWashington, USA$197.5k - $276.5kIn-person

About the Job

Requirements

  • At least 8 years developing physics-based simulation and dynamic models for high-reliability or high-performance robotic systems in demanding domains such as aerospace/space, autonomous vehicles, legged robots, industrial or warehouse automation, or similar domains.
  • Strong fundamentals in dynamics and multibody modeling, including rigid and flexible body formulations, contact mechanics, actuator and sensor abstraction, and numerical methods.
  • Proficiency with at least one major robotics or physics simulation platform, such as NVIDIA Isaac Sim or Isaac Lab, MuJoCo, Gazebo or gz-sim, Drake, Webots, PyBullet, or an equivalent platform.
  • Demonstrated ability to use simulation to drive decisions across trade studies, design, and verification.
  • Experience developing simulation frameworks with Python or C/C++, and applying disciplined configuration management, automated testing, and verification practices.
  • Familiarity with control system concepts sufficient to implement and evaluate closed-loop simulations, including stability, estimation, and tuning.

Responsibilities

  • Stand up and iterate dynamic models to evaluate system concepts, margins, and operational envelopes for locomotion and manipulation systems.
  • Build scenario-based simulation studies for wheeled or legged mobility and robotic manipulation using physics engines to inform requirements and design decisions.
  • Develop contact and terra mechanics approaches at appropriate fidelity levels and quantify key sensitivities and uncertainties.
  • Provide simulation data products, including control margins, sensitivity sweeps, and operational envelopes, to support control architecture and actuator trades.
  • Produce model maturation plans, test-to-model correlation plans, and phased verification strategies across model-in-the-loop, software-in-the-loop, and hardware-in-the-loop stages.
  • Generate synthetic data and simulation-based datasets to support machine learning, reinforcement learning, and sim-to-real transfer.
  • Mature simulation models into verification-grade assets with configuration management, parameter governance, and automated regression.
  • Correlate models to hardware test data; drive system identification, parameter updates, and model credibility arguments.
  • Implement plant models, actuator dynamics, sensor models, and environment interactions within simulation frameworks for closed-loop analysis.
  • Define verification artifacts, including test cases, scenario coverage, acceptance criteria, and model credibility evidence, for mobility and manipulation domains.
  • Support anomaly resolution from lab through integrated testing via simulation replay and analysis.
  • Mentor junior engineers and establish best practices for simulation software quality.

Desired Qualifications

  • Bachelor of Science in Aerospace, Mechanical, Electrical, Robotics, Computer Science, Computational Science, or a related field; a Master of Science or Ph.D. is preferred.
  • Hands-on experience with NVIDIA Isaac Sim or Isaac Lab for robotics scenario simulation, including locomotion, manipulation, repeatable environments, terrain and contact interaction, domain randomization, and logging or analysis.
  • Experience with MuJoCo, Drake, or Gazebo for dynamics modeling, reinforcement-learning policy training, or hardware-in-the-loop workflows.
  • Experience integrating ROS 2 or MoveIt 2 for manipulation planning and sim-to-real deployment.
  • Sim-to-real transfer experience, including domain randomization, system identification, and reality-gap characterization.
  • Experience with reinforcement learning or learning-based control applied to locomotion or manipulation tasks.
  • Experience with lunar or planetary surface terra mechanics, including slip or traction modeling, sinkage or rolling resistance, and slope handling.
  • Model-in-the-loop, software-in-the-loop, or hardware-in-the-loop verification experience and automated regression testing of simulation scenarios.
  • Experience correlating models to hardware test data, including system identification, parameter estimation, and model credibility frameworks.
  • Experience applying modern software practices to modeling and simulation, including continuous integration and continuous delivery, automated tests, configuration and parameter management, and containerized environments.

About the Company

Blue Origin

Builds rockets, engines and lunar spacecraft

Blue Origin builds rockets, engines and spacecraft for commercial satellite operators and government space programs. Its New Glenn orbital rocket uses a reusable first stage, while Blue Moon landers are designed to transport cargo and astronauts to the lunar surface. The company designs and manufactures liquid-fueled propulsion systems, and its New Shepard vehicle is built for short suborbital trips carrying people and research payloads. Customers pay for launch services and engines, and government development contracts fund work on systems for exploration beyond Earth orbit. Founded by Jeff Bezos in 2000, Blue Origin is headquartered in Kent, Washington.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$10.1B
Headquarters
Kent, WA
Founded
2000

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