Software Engineer, Simulation

Highlights

• Build end-to-end simulation validating driving intelligence before road deployment.
• Investigate on-road vs simulated behavior to build confidence in the driving stack.
• Scale open-loop evaluation and productionise GAIA-powered closed-loop simulation.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support
• Learning and development budgets with support for training and conferences
• Comprehensive benefits including health insurance, dental, enhanced parental leave and wellbeing support

Ideal candidate

A collaborative systems-minded engineer who loves debugging complex interactions and making large-scale systems reliable, reproducible and fast to accelerate autonomous driving.

Requirements

• Professional experience developing, delivering and maintaining production software in a collaborative environment
• Strong software development skills in C++ and Python, with depth in at least one
• Experience integrating and debugging components in a complex software system across interfaces, data flows and timing
• Relevant experience in simulation (robotics or AV) or another complex systems domain with transferable challenges
• Experience integrating and working with ML components (e.g. PyTorch models, CUDA, QNN)
• Strong fundamentals in testing, maintainability, code review, observability and pragmatic design