FieldAI · 3 hours ago
Software Engineer, Validation & Verification, Intern (Summer 2026)
FieldAI is transforming how robots interact with the real world by building reliable AI systems for robotics. The Software Engineer, V&V Intern will support quality assurance for off-road autonomy and humanoid robotics, focusing on designing and executing tests to ensure system reliability and safety.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
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
Qualification
Required
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
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
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
H1B Sponsorship
FieldAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Recent News
Crunchbase News
2025-12-19
2025-10-16
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