Edge ML Engineer: Inference & System Optimization
Listed on 2026-10-06
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Systems Engineer -
Engineering
AI Engineer (Applied/Software), Systems Engineer
Zoox in Foster City, California, is seeking a Machine Learning and System Optimization Engineer to innovate in developing multi-modality models for autonomous systems. You will manage system capacities and drive initiatives for efficient model inference.
The successful candidate will optimize and deploy complex models, focusing on real-time execution on edge devices. Key skills include model compression, CUDA programming, and experience with power-constrained vehicle systems.
Are you ready to take on the Edge ML Engineer:
Real-Time Inference & System Optimization role at Zoox?
This opportunity is part of our work in IT & Technology.
The advertised compensation is 100..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Edge ML Engineer:
Real-Time Inference & System Optimization role in the description above.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).