Robotics Software Engineer, Mission Evaluation & Fine-Tuning
FieldAI· Engineering – Mission, Interaction & Intelligence
Irvine, CAFull-timePosted 3d ago
About the role
FieldAI’s Irvine team builds risk-aware, reliable, field-ready AI systems for embodied robotics, focusing on real hardware deployments and field-tested evaluation of perception, planning, localization, and manipulation.
Responsibilities
- 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.
Qualifications
- 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.
Skills
Required:PythonC++ROS 2Vision or vision-language model fine-tuningData pipeline
Last updated Oct 22, 2026. Interested? Apply on the company site.
About FieldAI
Robot intelligence built for the real-world.
FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.
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