Software Engineer, Sensor Simulation

Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Game Design, Robotics.

Proven understanding of data structures, algorithms, concurrency, and code optimization

Proficiency with Unreal Engine OR demonstrated experience in robotics/autonomy systems (e.g., sensor simulation, perception pipelines, SITL/HITL testing)

Experience troubleshooting and analyzing remotely deployed software systems

Experience with various tools for performance analysis and debugging problems (gdb, bpftrace, perf, etc)

Rust programming experience

Develop and maintain core capabilities in Unreal Engine such as a terrain rendering pipeline, vehicle physics models, and many more

Work with other platform teams at Anduril to ensure our service integrates seamlessly with other core services

Integrate various plugins and third party capabilities into our platform, figuring out how to best make use of them and working around or fixing any bugs

Collaborate closely with other teams across the company to enable them to integrate synthetic imagery and bring back lessons learned to help improve our product

Iterate on sensor fidelity and environmental realism based on feedback from autonomy teams, bridging the gap between synthetic training data and real-world performance

The Sensor Simulation team at Anduril is building a platform for generating synthetic imagery for a variety of teams across the company. Use cases span a variety of areas, such as SITL (software in the loop) and HITL (hardware in the loop) integration tests of our systems, machine learning (ML) data generation and user training simulations. Our mission is to close the sim2real gap—building synthetic imagery pipelines so realistic and physically accurate that our autonomy stack can't tell the difference between synthetic and real-world data. This directly accelerates development and validation of Anduril's perception and autonomy capabilities. We're looking for software engineers with strong coding skills and deep, relevant experience who can learn quickly and help build out the platform. Candidates must have hands-on background in robotics, autonomy systems, or game engines—we need versatile generalists who can connect cutting-edge graphics with real-world sensor behavior.