Drimva

Field AI

Robotics Software Engineer, Mission Evaluation & Fine-Tuning

Irvine, CA · On-site · Full-time · Posted Oct 19, 2026

Experience
3+ years in robotics or ML engineering.
Education
MS in computer science, robotics, aerospace engineering, or a related field.

About the job

Owns inspection-behavior evaluation for robotics missions, turning field evidence into datasets, metrics, and regression tests that guide releases and model fine-tuning.

What you'll do

  • Build evaluation datasets, seeded-fault runs, and regression suites to gate release candidates.
  • Analyze mission logs, identify and route failures, and connect technical performance to customer metrics.
  • Convert field evidence into training and evaluation sets and fine-tune vision or vision-language models.

What they ask for

  • Strong Python, working C++, and comfort with ROS 2 logs, bags, and replay tooling.
  • Experience evaluating and fine-tuning vision or vision-language models, including building datasets and metrics.
  • Statistical rigor and data pipeline skills to move evidence from robot to training set to dashboard.

Nice to have

  • Authored or maintained a robotics benchmark, evaluation suite, or challenge; simulation-based evaluation and sim-to-real validation.
  • MLOps for on-edge models or experience in industrial inspection, gauge reading, or anomaly detection.

Tools

Python, C++, ROS 2, PyTorch, LoRA

AI focus

Evaluate and fine-tune vision or vision-language models for robotics inspection, using field evidence to build training and evaluation datasets.

Model-written summary · the original posting is authoritative

First seen Oct 20, 2026 · Last verified Nov 5, 2026 (UTC)