Responsibilities

Design, implement, and evolve the core simulator architecture across vehicle types, environments, and use cases.
Improve and extend physics models for vehicle motion, environmental interactions, and dynamic agents.
Build high-fidelity simulations of cameras, IMUs, and other onboard components, including timing, noise characteristics, and hardware behavior.
Run and validate the full autonomy stack in simulation to ensure consistency between simulated and real-world behavior.
Implement simulator capabilities for customer and internal autonomy-engineering workflows, including training scenarios and advanced testing modes.
Profile and optimize simulator performance while improving realism and accuracy.
Develop core simulator components in C++ and Python under real-time constraints.
Collaborate with autonomy, perception, and controls engineers.
Debug interactions among physics, sensors, autonomy logic, and rendering.
Help shape the simulator's long-term technical direction as a product and internal platform.
Contribute to simulator documentation and shared technical understanding.

Requirements

Strong software engineering experience with C++ and Python.
Experience building complex systems where performance, determinism, or correctness are important.
Ability to reason about time-synchronized systems, state machines, or real-time execution.
Ability to work in a large, evolving codebase with multiple stakeholders.
Interest in robotics, simulation, or physical systems.

Experience with robotics, simulation, game engines, or real-time systems.
Experience with physics engines, sensor modeling, or hardware abstraction layers.
Multithreaded or low-latency system design experience.
Experience debugging systems spanning software and physical behavior.