Simulation Software Engineer I - Space Autonomy

Lodestar Space; El Segundo (CA); Hybrid; USD 136,000 - 200,000; Full time

Benefits offered by this job

Meaningful equity incentives

Flexible PTO

Medical, dental & vision coverage

401(k) retirement plan with company 6%

Job summary

Lodestar Space is seeking a Software Engineer: Simulation to build and validate the autonomy stack's simulation environment. You will create high-fidelity sensor models and run hardware-in-the-loop benches, enabling CI-friendly, reproducible mission runs.

The role spans from I to III levels, emphasizing C++, Python, ROS 2, and Linux-based workflows. The team values extreme ownership and robust distributed simulation tooling.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Aerospace, Robotics, Mechanical or Electrical Engineering, or related field
• Experience in simulation, robotics, or games is described for multiple levels
• Strong programming in C++ and Python is required

Responsibilities

• Build and extend the mission simulation environment that Lodestar's autonomy stack is developed and validated against
• Develop high-fidelity sensor and environment models - electro-optical cameras, orbital lighting and illumination
• Build software-in-the-loop and hardware-in-the-loop test benches so that flight software can be trialed against realistic simulated missions
• Design distributed simulation services to run mission scenarios at scale
• Own the internal simulation tooling, telemetry, and regression frameworks

Skills

C++

Python

ROS 2

Multithreading

Unreal Engine

Linux

Docker

Education

Bachelor\'s or Master\'s degree in Computer Science or Engineering

Tools

ROS 2

Unreal Engine

Job description

Lodestar Space is seeking a Software Engineer: Simulation to build and validate the autonomy stack's simulation environment. You will create high-fidelity sensor models and run hardware-in-the-loop benches, enabling CI-friendly, reproducible mission runs.

The role spans from I to III levels, emphasizing C++, Python, ROS 2, and Linux-based workflows. The team values extreme ownership and robust distributed simulation tooling.