Software Engineer, Verification and Validation

Job description

Job responsibilities

• Evaluate perception software from a V&V perspective to ensure it meets system and product requirements.
• Provide objective verification of functionality, robustness, and release readiness.
• Work closely with developers while maintaining an independent quality and validation role.
• Create V&V plans for LiDAR, camera, GPS, and IMU-based perception systems across sensor, module, and system levels.
• Convert product and engineering requirements into clear, testable validation criteria.
• Establish performance metrics, quality gates, and release readiness criteria.
• Develop test cases for nominal, edge-case, and degraded sensor conditions.
• Validate performance across simulation, replay, and real-world test environments.
• Ensure coverage across environmental, operational, and sensor failure scenarios.
• Investigate issues using recorded sensor logs, replay tools, and annotated datasets.
• Perform structured root-cause analysis on perception and sensor-related failures.
• Partner with the Perception team to reproduce issues, clarify expected behavior, and verify fixes.
• Improve repeatable validation through automation, replay, and simulation-based testing.
• Support regression coverage across software releases and perception updates.
• Contribute to clear reporting and measurable quality tracking.
• Collaborate with Perception, Autonomy, Systems, Hardware, and Field teams on validation priorities and readiness.
• Communicate risks, findings, and recommendations to technical stakeholders.
• Support data-driven release decisions with clear, independent validation evidence.
• Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related technical field.
• 3+ years of experience in verification, validation, systems test, or perception evaluation for robotics, autonomous systems, automotive, or similar domains.
• Experience working with robotic sensors such as LiDAR, cameras, GPS, and IMUs.
• Strong understanding of perception system behavior, sensor limitations, and common failure modes.
• Experience developing test plans, validation procedures, performance metrics, and structured test reports.
• Experience analyzing logs, datasets, and field results to debug issues and perform root-cause analysis.
• Strong cross-functional communication skills and the ability to work effectively with development teams while representing an independent V&V function.
• Experience validating perception systems for autonomous vehicles, mobile robots, drones, industrial robots, or defense robotics platforms.
• Familiarity with perception workflows such as detection, tracking, localization, mapping, or sensor fusion.
• Experience with simulation, software-in-the-loop, hardware-in-the-loop, and replay-based validation.
• Experience with sensor calibration, synchronization, time alignment, and sensor health monitoring.
• Experience building automated regression tools or validation infrastructure.
• Familiarity with annotated datasets, ground-truth generation, and scenario-based test design.
• Knowledge of structured verification processes, requirements traceability, and safety-oriented development practices