Simulation Engineer III, Autonomy & Robotics

Simulation Engineer III, Autonomy & Robotics Skip to main content#Simulation Engineer III, Autonomy & Robotics page is loaded## Simulation Engineer III, Autonomy & Robotics Apply locations:
Greater Seattle Areatime type:
Full time posted on:
Posted 8 Days Agojob requisition :
R67902

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

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!  This role is part of Advanced Concepts and Enterprise Engineering (ACE), supporting Blue Origin’s mission of millions of people living and working in space for the benefit of Earth.

The team fosters innovation and drives engineering workflows of the future, shared solutions and standards, simplicity and lower costs, and manufacturable design.

As part of a passionate and accomplished team of experts, you will be responsible for building the simulation capabilities that enable the future of robotic space exploration. We are developing the next generation of autonomous rovers, landers, and in-space systems that will build a road to space. This role is central to our ability to develop, test, and verify the advanced AI and autonomy software that will make this vision a reality.

The Simulation Engineer III will design, build, and operate high-fidelity digital environments and testbeds. You will work closely with AI/ML engineers, GNC engineers, and vehicle systems engineers to create simulations that push the boundaries of our autonomous systems, ensuring they are robust, reliable, and ready for their mission.

We are looking for someone to join our team who is mission-driven, subscribes to the highest standards of quality, and is passionate about building the future of humanity in space.
** Responsibilities include but are not limited to:
*** Develop, integrate, and maintain high-fidelity simulation environments using frameworks such as
** Gazebo, NVIDIA Isaac Sim**, and other industry-standard tools.
* Create and validate physics-based models of vehicle dynamics, actuator responses, and environmental interactions (e.g., lunar regolith mechanics).
* Develop accurate sensor models for cameras, LiDAR, IMUs, and other sensor modalities essential for autonomous navigation and perception.
* Design, implement, and operate
** Hardware-in-the-Loop (HIL)
** and Software-in-the-Loop (SIL) testbeds to validate flight software and autonomy algorithms against real hardware.
* Execute large-scale,
** faster-than-real-time simulation
** campaigns for Monte Carlo analysis, performance characterization, and formal verification of autonomous systems.
* Collaborate with AI/ML teams to generate high-quality
** synthetic data
** for training and testing perception and navigation models.
* Develop tools and infrastructure for simulation automation, data analysis, and results visualization.
** Minimum Qualifications
*** B.S. degree in Computer Science, Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related field.
* A minimum of 5 years of experience developing and utilizing complex, physics-based simulations for aerospace, robotics, or autonomous systems.
* Demonstrated proficiency with one or more industry-standard simulation frameworks (e.g.,
** Gazebo/Ignition, NVIDIA Isaac Sim**, Unreal Engine, Chrono).
* Strong software development skills in C++ and Python.
* Hands-on experience with
** Hardware-in-the-Loop (HIL)
** simulation design and execution.
* Experience modeling rigid body dynamics and sensor modalities (e.g., cameras, IMUs, LiDAR).
** Preferred Qualifications
*** M.S. or Ph.D. in a relevant engineering or science discipline.
* Experience developing
** closed-loop simulations for aviation or space vehicles** (e.g., launch vehicles, spacecraft, planetary rovers, drones).
* Proven experience using simulation for
** synthetic data generation
** to train and validate perception, navigation, or other AI/ML…