Staff AI Software Engineer - Edge Model Optimization & Deployment

Field AI

1 month ago

Seattle, WA

Onsite

Full Time

Senior

1 applicant

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About this role

A Staff-level ML/Robotics engineer at Field AI focuses on enabling real-time, on-device autonomy by translating cutting-edge AI research into robust, deployable systems for robots. The role centers on making state-of-the-art models run reliably under strict latency, power, and reliability constraints on embedded platforms like NVIDIA Jetson and Orin. Based in Seattle, the position influences technical direction across teams to ensure continuous field performance in unstructured real-world environments.

Skills

Qualifications

BS in Computer Science, Robotics, or Electrical/Computer EngineeringMS in Computer Science, Robotics, or Electrical/Computer EngineeringPhD in Computer Science, Robotics, or Electrical/Computer Engineering

About Field AI

fieldai.com

FieldAI builds field-proven embodied AI software offering a unified autonomy platform — "One Autonomy for All Robots" — to enable reliable real-world operation of mobile robots. Their stack covers perception, navigation, task planning and fleet orchestration so robot makers and enterprise operators can deploy and scale robots across varied environments. Designed to integrate with different robot types and industry use cases (warehousing, logistics, manufacturing, etc.), the platform focuses on turning robotics pilots into sustained operations. FieldAI has raised significant funding (over $400M) to expand its embodied-AI capabilities at scale.