Staff AI Software Engineer - Edge Model Optimization & Deployment

Posted:
2/2/2026, 3:32:02 AM

Location(s):
California, United States ⋅ Irvine, California, United States ⋅ Seattle, Washington, United States ⋅ Washington, United States

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
On-site

About Us

Field AI builds field-proven embodied AI that enables robots to operate autonomously in complex, unstructured real-world environments. Our systems perceive, reason, and act directly on the robot, running on edge hardware under strict constraints on latency, power, and reliability.

We focus on translating cutting-edge AI research into deployable, production-grade autonomy, with an emphasis on robustness, efficiency, and real-world performance. Our AI stack runs on embedded platforms such as NVIDIA Jetson and Orin, powering robots that operate continuously without reliance on cloud compute or curated environments.

Why This Role Matters

At Field AI, autonomy lives or dies on the edge. This role directly determines whether state-of-the-art AI models can run reliably and in real time on robots deployed in the field. At the Staff level, you will shape how edge AI is built, optimized, and deployed across the organization, influencing both technical direction and execution quality.

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Staff AI Software Engineer - Edge Model Optimization & Deployment

Field AI

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