Robotics Software Engineer, Mission Evaluation & Fine-Tuning

What You Will Get To Do

• 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.

What You Have

• 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.

What Will Set You Apart

• 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.