About the roleAt Gatik, simulation is the primary engine for scaling validation across millions of virtual miles. As a Senior V&V Engineer for SIL & Simulation, you will leverage Gatik's state-of-the-art simulation platform (Gatik Arena™) and SIL pipelines to stress-test autonomy software against synthetic scenarios, edge-case variations, and log-replays. You will construct automated verification suites that quantify software readiness before every production driverless release.
This role is onsite 5 days a week at our Santa Clara, CA office!
What you'll doKey Responsibilities- SIL Test Strategy & Automation: Design and scale automated SIL testing pipelines integrated into cloud-based CI/CD workflows for daily regression and release gate evaluation.
- Scenario Creation & Parameter Variation: Generate complex, high-fidelity synthetic scenarios (urban/suburban middle-mile routes, edge cases, adverse weather, severe traffic interactions) using scenario definition standards (OpenSCENARIO, ASAM).
- Log Replay & Permutation Testing: Build automated workflows to extract disengagements or interesting events from fleet logs and transform them into parametric simulation suites.
- Autonomy Stack Verification: Validate stack performance across perception, planning, controls, and map execution against safety metrics and behavioral assertions.
- Simulation Fidelity Assessment: Collaborate with simulator platform teams to validate simulator realism, sensor physics models, and vehicle dynamic fidelity against real-world data.
- Metrics & Release Dashboards: Develop automated verification dashboards (Grafana, SQL, Python) tracking pass/fail rates, safety violations, and coverage metrics across thousands of daily simulation runs.
Minimum Qualifications- Education: B.S. or M.S. in Computer Science, Software Engineering, Robotics, or Data Science.
- Experience: 5+ years in software-in-the-loop (SIL) testing, virtual simulation validation, or automated software QA for AVs or complex robotics.
- Software Mastery:
- Exceptional proficiency in C++ and Python.
- Deep experience with Linux environments, Docker containerization, Kubernetes, and cloud compute clusters (AWS/GCP).
- Strong working knowledge of simulation tools.
- Experience with continuous integration pipelines.
Preferred Qualifications- Experience validating middle-mile or commercial vehicle autonomous planning and control algorithms.
- Background in dynamic scene generation, procedural generation, or synthetic data validation.
- Proficiency in statistical safety verification and coverage-based testing methodologies.
Salary Range - $160,000- $260,000
