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

Who we are Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation. The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations. About the role 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. This role is onsite 5 days a week at our Santa Clara, CA office! What you'll do Key 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+…