Software Engineer, Verification and Validation (Perception)
Quick Summary
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable,
We are looking for a Software Engineer, Verification and Validation (V&V), Perception to join our Autonomy V&V team and help ensure the performance, robustness, and reliability of our robotic perception stack in real-world operating conditions. In this role, you will focus on the independent verification and validation of perception software that is designed and developed by our Perception team, helping provide objective assessment of system readiness, performance, and quality.
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.
Location & Eligibility
Listing Details
- Posted
- April 30, 2026
- First seen
- April 30, 2026
- Last seen
- May 4, 2026
Posting Health
- Days active
- 4
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- May 5, 2026
Signal breakdown

Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.
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