Verification & Validation (V&V) Engineer – HIL, Simulation & Autonomy Validation

Gatik AI•Mountain View, CA

9h•$160,000 - $220,000•Onsite

About The Position

The Verification & Validation (V&V) Engineer is responsible for validating autonomous driving software using Hardware-in-the-Loop (HIL), simulation environments, replay frameworks, map validation platforms, and internal testing tools. This role focuses on verifying software quality, system performance, and release readiness prior to vehicle deployment. The ideal candidate will work closely with autonomy, mapping, infrastructure, and tool development teams to execute validation plans, analyze results, identify issues, and provide data-driven recommendations for software releases.

Requirements

Bachelor's degree in Engineering, Computer Science, Robotics, Automotive Engineering, or a related technical field.
Experience in Verification & Validation, ADAS, autonomous vehicles, robotics, or automotive systems.
Understanding of HIL, simulation, replay, or system-level testing methodologies.
Experience executing structured test plans and analyzing results.
Strong troubleshooting, analytical, and problem-solving skills.
Excellent written and verbal communication skills.

Nice To Haves

Experience with autonomous vehicle software validation.
Experience with HIL, simulation, replay, and map validation tools.
Familiarity with vehicle sensors, autonomy software, and fleet operations.
Experience with log analysis, Python, SQL, Grafana, Foxglove, or similar data analysis tools.
Experience working with cross-functional engineering teams.

Responsibilities

Develop and execute test plans for autonomy software, vehicle systems, and new feature releases.
Perform functional, integration, regression, and release validation testing.
Verify system behavior across perception, localization, planning, controls, and mapping functions.
Support requirements-based verification and release sign-off activities.
Execute validation activities using HIL, SIL, simulation, replay, and scenario-based testing environments.
Collaborate with tool owners and infrastructure teams to understand and effectively utilize validation platforms.
Develop and maintain test scenarios within existing validation frameworks.
Evaluate autonomy performance across nominal, edge-case, and safety-critical scenarios.
Support automation and continuous validation efforts where applicable.
Validate map releases, route configurations, lane connectivity, speed zones, stop controls, and operational routes.
Verify map fixes and updates before deployment.
Investigate map-related issues impacting autonomy performance and operational behavior.
Work with mapping teams to ensure map quality and deployment readiness.
Analyze vehicle logs, replay results, simulation outputs, and validation data.
Investigate software defects, autonomy performance issues, disengagements, and unexpected vehicle behaviors.
Perform root cause analysis and provide detailed findings to engineering teams.
Validate software fixes through targeted testing and regression assessments.
Track validation metrics and support release readiness decisions using data-driven analysis.
Partner with Autonomy, Mapping, Systems, Safety, Software, and Infrastructure teams.
Participate in feature reviews, release reviews, and validation planning activities.
Communicate validation findings, risks, and recommendations to stakeholders.
Support continuous improvement of validation methodologies and testing processes.
Create and maintain test plans, test procedures, validation reports, and release summaries.
Document issues, test results, and verification evidence.
Support release sign-off activities through comprehensive validation reporting.
Maintain traceability between requirements, test cases, and validation results.