Robotics Software Engineer
Field AI
Robotics Software Engineer
Field AI
Builds AI that guides robots through changing sites
Own the end-to-end inspection behavior success metric.
Build the evaluation loop: golden-labeled datasets, seeded-fault runs, and regression suites at feature, system, and release level that gate every release candidate.
Turn field evidence into training and evaluation sets.
Map technical performance to the metrics the customer measures.
Make failures legible: triage mission logs, attribute each miss to navigation, localization, perception, or behavior, and route it to the owning team with evidence.
MS in computer science, robotics, aerospace engineering, or a related field, with 3+ years in robotics or ML engineering.
Strong Python, working C++, and comfort with ROS 2 logs, bags, and replay tooling.
Experience evaluating and fine-tuning vision or vision-language models (PyTorch, LoRA or similar), including building the datasets and metrics behind them.
Statistical rigor: knowing the difference between a benchmark number and a field result, and how to design an experiment that tells them apart.
Data pipeline skills to move evidence from robot to training set to dashboard.
Authored or maintained a robotics benchmark, evaluation suite, or challenge.
Simulation-based evaluation and sim-to-real validation.
MLOps for on-edge models: quantization, versioning, and rollout to a fleet.
Industrial inspection, gauge reading, or anomaly detection experience.
Field AI builds autonomy software that lets mobile robots inspect and work in changing environments, including construction sites and industrial facilities. Its Field Foundation Models act as a shared control system for different machines, bringing perception, navigation and task planning together on the robot. Cameras and other sensors feed the system, while the platform sends site data into customers' project tools to track progress, record conditions and identify deviations from plans. The company sells commercial autonomy solutions and deployment services, integrating its software with robot manufacturers' equipment. Field AI was founded in 2023 and is headquartered in Irvine, California.
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