Software Engineer, Validation & Verification,… at FieldAI · Irvine

Summary: Field AI is transforming how robots interact with the real world by building reliable AI systems for robotics. They are seeking a Software Engineer, V&V Intern to support the quality assurance of their robotics stacks, contributing to testing, automation, and validation efforts in a hands-on internship environment. Responsibilities: - Contribute to verification and validation across autonomy software stacks - Design and implement tests for perception, planning, localization, and control - Define clear pass/fail criteria for features and releases - Maintain traceability between requirements, tests, logs, and results - Build and execute scenario-based tests using simulation (SIL/HIL) and log replay - Develop realistic and adversarial test scenarios (terrain, lighting, weather, sensor noise or faults) - Support sim-to-real calibration through data replay and basic sensor or hardware characterization - Improve test infrastructure and developer feedback loops - Integrate tests into CI pipelines (e.g., GitHub Actions, GitLab) with actionable reporting artifacts - Build tooling for log capture, analysis, and automated failure triage - Track and visualize quality signals including scenario coverage, regressions, and safety or performance KPIs - Support structured field validation activities as needed - Assist with fault-injection and degraded-mode testing under supervision - Produce clear, lightweight evidence reports for internal reviews Required Qualifications: - Strong interest in software or robotics testing, verification & validation, QA, reliability, or test infrastructure - Coding experience in Python and/or C/C++ for test harnesses, automation, or analysis - Familiarity with robotics logging workflows (e.g., ROS / ROS 2, bag files, telemetry) or willingness to learn quickly - Basic understanding of CI/CD concepts and reproducible development workflows - Comfort working with robotics sensor data (cameras, LiDAR, IMU, joint or force sensors) at a foundational level - Clear technical writing skills for test plans, results summaries, and debugging notes - An evidence-driven mindset with an interest in metrics, automation, and early issue detection Preferred Qualifications: - Experience with robotics simulators or testing frameworks (e.g., Gazebo, Isaac Sim) - Exposure to autonomy components such as perception evaluation, planning behaviors, or control validation - Familiarity with fault injection or robustness testing (sensor dropouts, time skew, GPS denial, actuator issues) - Experience building dashboards, log visualization tools, or scenario libraries - Field testing experience and strong safety discipline - Coursework or project experience in robotics, autonomy, or safety-critical systems Required Skills: Python, C/C++, Robotics testing Important Skills: CI/CD concepts, Robotics logging workflows Nice-to-Have Skills: Evidence-driven mindset, Field testing experience, Safety discipline, Technical writing Internship Start Date: Start in 2026 Summer