Software Engineer, Verification and Validation (Perception) (Robotics)

Location: Irvine, CA, United States; on-site

Company

hirify.global builds risk-aware, reliable, field-ready embodied AI systems for real-robot deployments.

What you will do

• Independently verify and validate perception software against system and product requirements.
• Define validation strategies, V&V plans, performance metrics, quality gates, and release-readiness criteria for LiDAR, camera, GPS, and IMU-based systems.
• Design and execute nominal, edge-case, degraded-sensor, environmental, operational, and sensor-failure test coverage.
• Validate perception performance across simulation, replay, and real-world test environments.
• Analyze sensor logs, datasets, and field results to reproduce failures, identify root causes, and verify fixes.
• Build scalable automation, replay, simulation, regression, reporting, and quality-tracking workflows while collaborating with Perception, Autonomy, Systems, Hardware, and Field teams.

Requirements

• 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 testing, or perception evaluation for robotics, autonomous systems, automotive, or similar domains.
• Experience with robotic sensors including LiDAR, cameras, GPS, and IMUs.
• Strong understanding of perception-system behavior, sensor limitations, and common failure modes.
• Experience creating test plans, validation procedures, performance metrics, structured reports, and root-cause analyses from logs and datasets.
• Ability to work on-site in Irvine, California.

Nice to have

• Experience validating perception for autonomous vehicles, mobile robots, drones, industrial robots, or defense robotics platforms.
• Familiarity with detection, tracking, localization, mapping, sensor fusion, annotated datasets, ground-truth generation, and scenario-based testing.
• Experience with software-in-the-loop, hardware-in-the-loop, replay-based validation, sensor calibration, synchronization, time alignment, and sensor health monitoring.
• Experience building automated regression tools or validation infrastructure.
• Knowledge of structured verification processes, requirements traceability, and safety-oriented development practices.

Culture & Benefits

• Work directly with real robots, sensors, and field deployments.
• Collaborate across Perception, Autonomy, Systems, Hardware, and Field engineering teams.
• Support data-driven release decisions through independent validation evidence.
• Contribute to embodied AI systems deployed in real-world operating conditions.