FieldAI · 2 weeks ago
3.20 Verification and Validation Software Engineer
FieldAI is transforming how robots interact with the real world by building risk-aware AI systems for robotics. The Verification and Validation Software Engineer will own the quality for Field AI's autonomy stacks, designing strategies and building tooling to ensure safety and reliability in real-world applications.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
Own end-to-end V&V for autonomy stacks
Define test strategies for perception, planning, and control across vehicle and robot platforms
Build SIL/HIL pipelines for continuous regression and performance tracking
Establish entry/exit criteria, traceability, and sign-off gates
Level up our simulation & scenario coverage
Develop realistic, adversarial scenarios (terrain, weather, lighting, sensor faults)
Create large-scale batch tests using scenario generators and digital twins
Calibrate sim-to-real via data replay and hardware characterization
Engineer reliable test infrastructure
Implement CI/CD integrations (build, artifacting, test orchestration, dashboards)
Develop tooling for log capture, triage, and automated failure bucketing
Track metrics: requirement coverage, code coverage (incl. MC/DC), and safety KPIs
Prove safety and reliability in the field
Plan and run structured field validations for off-road, legged, and humanoid use cases
Execute fault-injection and degraded-mode testing with clear escalation paths
Produce evidence packages for internal design reviews and external stakeholders
Qualification
Required
2–5+ years in software or robotics V&V, QA, or test infrastructure (or equivalent research/industry experience)
Strong coding in Python and/or C and/or C++ for test harnesses, automation, and analysis
Hands-on with ROS/ROS 2, bag tools, and robotics logging/telemetry workflows
Experience designing SIL/HIL setups, simulators, and scenario-based testing at scale
Familiarity with autonomy components (perception, localization, mapping, planning, control)
Proficiency with CI/CD (e.g., GitHub Actions, GitLab), containers, and build systems (CMake)
Comfort with sensors and data: cameras, LiDAR, IMU, joint/force sensors; calibration & synchronization basics
Clear, concise technical writing: test plans, results summaries, risk registers, and release notes
A pragmatic, evidence-driven mindset and bias for automation over manual toil
Preferred
Domain experience in off-road autonomy (unstructured terrain, slip, wheel/track dynamics)
Experience with legged/humanoid robots (whole-body control, contact/force validation)
Deep simulation chops: Isaac Sim, Gazebo custom scenario engines
Fault-injection and robustness testing (sensor dropouts, time skew, GPS denial, actuator faults)
Statistical testing & evaluation: scenario coverage metrics, outlier analysis, reliability modeling
ML evaluation experience (perception KPIs, dataset curation, drift detection, labeling QA)
Tooling you can show: log diff/visualization tools, test dashboards, scenario libraries
Field test operations in challenging environments; strong safety discipline and test readiness reviews
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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