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Automation Engineer (Forward Deployment)

FieldAI· Engineering – Autonomy
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Irvine, CA$80k - $130kFull-timePosted 3w ago

About the role

Automation Engineer at FieldAI working with deployed robot fleets to improve reliability and performance across real-world sites, bridging robotics, machine learning, and field operations. Owns triage, data-driven improvements, and hands-on ML work to ship field-ready AI systems.

Responsibilities

  • Own day-to-day triage of issues across deployed sites and identify the highest-impact failure modes.
  • Analyze robot behavior, logs, telemetry, and model outputs to diagnose issues across perception, prediction, and planning.
  • Track failure modes and drive issues through resolution, with a focus on consistently improving site performance.
  • Work with data/labeling, modeling, and deployment teams to turn field failures into actionable data and model improvements.
  • Build and maintain datasets and evaluation sets for new failure modes and site-specific use cases.
  • Measure improvements in production and ensure fixes are validated and generalized across sites.
  • Train, fine-tune, and evaluate ML models when required to address new failure modes or site-specific challenges.
  • Experiment with data, model, and inference changes across perception, prediction, and learned planning.
  • Help identify whether a problem is best addressed through data, labeling, modeling, or system/deployment changes.
  • Partner with deployment and robotics engineers to integrate and validate model and system improvements on robots.
  • Support new use cases and customer requirements from development through production deployment.
  • Help maintain reliable operation and rapidly burn down issues across deployed sites.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Robotics, AI, or a related field.
  • Strong Python and experience with modern ML frameworks such as PyTorch.
  • Experience training, fine-tuning, and evaluating machine learning models.
  • Strong debugging and problem-solving skills, with the ability to work across ML and robotics systems.
  • Experience with C++ and production ML/robotics systems.
  • Understanding of ML data pipelines, labeling, evaluation, and model deployment.
  • Interest or experience in robotics, autonomous systems, perception, prediction, or planning.
  • Ability to work effectively across modeling, data/labeling, and deployment teams.

Skills

Required:PythonPyTorchMachine Learning model training and evaluationC++Data labeling and ML data pipelinesProblem-solving and debugging across ML and roboticsCross-functional collaborationRobotics / autonomous systems interestHands-on deployment support
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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