2 months ago
Responsibilities
- Build and extend the simulation environment, including production autonomy-stack integrations, consumed interfaces, vehicle and actor models, and environmental and operational conditions.
- Maintain simulation integration as the autonomy stack evolves and improve fidelity between simulated and real inputs.
- Build and operate cloud-based scenario execution covering orchestration, parallelism, result aggregation, artifact capture, and runtime cost modeling.
- Develop evaluation layers with precise assertions and pass/fail criteria suitable for release gating.
- Build failure-triage tooling including failure clustering, per-failure recordings, and dashboards.
- Extend scenario-authoring tools used by the verification and validation team across backend and frontend systems.
- Maintain simulation foundations including determinism, reproducibility, pipeline performance, and coverage across maps and sites.
- Own ongoing test quality and reduce flaky failures through reproducibility, determinism, and gate validation.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Strong Python skills and a record of writing maintainable code in a shared codebase.
- Hands-on simulation experience for autonomous systems and familiarity with platforms such as CARLA, Applied Intuition, Foretellix, NVIDIA Omniverse, IsaacSim, Gazebo, or a proprietary simulator.
- Working knowledge of simulation, modeling, and validation methodology for relating simulated results to real-world behavior.
- Experience with Docker, Linux, distributed-systems fundamentals, GPU-based simulation environments, CI/CD, and cloud execution.
- Experience integrating automated test workflows into CI for end-to-end validation coverage.
- Experience analyzing simulation output and telemetry to identify performance bottlenecks and failure modes.
- Debugging and profiling skills for distributed, GPU-bound systems.
- Preferred: a master’s degree in Computer Science, Robotics, or a related field.
- Preferred: experience with safety-critical autonomous driving, aerospace, or robotics systems; autonomous vehicle software stacks; cloud-based simulation infrastructure; sensor modeling; automated testing; recorded-data re-simulation; and determinism or test-signal quality work.
- Preferred: exposure to ISO 26262, ISO 21448 (SOTIF), UL4600, and ISO 13849.
About AeroVect
AeroVect builds autonomous driving systems and software to automate airport ground service equipment, improving ramp logistics for airlines, airports, and ground handling providers. It deploys and supports autonomy for fleets used by major carriers and ground service companies. Founded in 2020 and headquartered in South San Francisco, it is a privately held Series A company.