Software Engineer - Simulations (III)

You’ll develop high-fidelity sensor and environment models in Unreal Engine, stand up the software- and hardware-in-the-loop benches that our flight software runs against, and design the distributed services that let scenarios run reproducibly across machines and in CI. You’ll work directly with the perception, prediction, decision, and missions teams to decide what needs simulating, at what fidelity, and why., * 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

We are hiring this role at mid-senior level. All levels require a Bachelor’s or Master’s degree in Computer Science, Aerospace, Robotics, Mechanical or Electrical Engineering, a related field, or equivalent experience.

• 6+ years of industry experience, including end-to-end ownership of a simulation stack or a major simulation subsystem
• Track record architecting simulation infrastructure - deciding what to model at what fidelity, and defending those trade-offs to engineering stakeholders
• Depth in real-time distributed system design: determinism, time synchronisation, clock management, and reproducibility across nodes
• Experience standing up HIL benches or SIL pipelines from scratch, including CI integration and automated regression testing
• Experience mentoring engineers and setting technical direction across team boundaries
• Comfortable deriving requirements from first principles, * Familiarity with orbital mechanics and Basilisk
• Experience with physics engines and rigid-body dynamics
• Sensor modelling experience across electro-optical, LIDAR, RADAR, or RF sensors
• Experience with GPU rendering pipelines or CUDA for accelerated simulation and synthetic data generation
• Exposure to robotics or space simulation frameworks such as Gazebo, Isaac Sim, Basilisk, or 42
• Experience with distributed transports (DDS, Zenoh, gRPC) and time-synchronisation protocols (PTP, NTP)
• Experience with Linux, Git, and CI/CD pipelines
• Comfortable with containerisation and orchestration tools such as Docker and Kubernetes
• Strong understanding of networking and communication protocols for distributed autonomy systems

Candidates should have strong expertise in any or all orbital dynamic simulation, 3D game engines, or distributed simulation architecture (ROS2).

• Our full band structure for this role:
• (P3) Career: $136,000 - $200,000 / year

• (P4) Senior: $175,000 - $250,000 / year

• Meaningful equity incentives as part of our employee option pool
• Flexible PTO with generous paid vacation, holidays, and sick leave
• Comprehensive medical, dental & vision coverage
• 401(k) retirement plan with company match
• Los Angeles, Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options , and access to medical, vision and dental coverage, as well as access to a 401(k) retirement plan.