Senior V&V Engineer – Software-in-the-Loop (SIL) & Simulation

Gatik AISanta Clara, CA
$160,000 - $260,000Onsite

About The Position

At 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.

Requirements

  • B.S. or M.S. in Computer Science, Software Engineering, Robotics, or Data Science.
  • 5+ years in software-in-the-loop (SIL) testing, virtual simulation validation, or automated software QA for AVs or complex robotics.
  • 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.

Nice To Haves

  • 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.

Responsibilities

  • Design and scale automated SIL testing pipelines integrated into cloud-based CI/CD workflows for daily regression and release gate evaluation.
  • Generate complex, high-fidelity synthetic scenarios (urban/suburban middle-mile routes, edge cases, adverse weather, severe traffic interactions) using scenario definition standards (OpenSCENARIO, ASAM).
  • Build automated workflows to extract disengagements or interesting events from fleet logs and transform them into parametric simulation suites.
  • Validate stack performance across perception, planning, controls, and map execution against safety metrics and behavioral assertions.
  • Collaborate with simulator platform teams to validate simulator realism, sensor physics models, and vehicle dynamic fidelity against real-world data.
  • Develop automated verification dashboards (Grafana, SQL, Python) tracking pass/fail rates, safety violations, and coverage metrics across thousands of daily simulation runs.
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