Zoox
Perception Deployment Engineer - Model Deployment & Optimization
Foster City, CA · On-site · Unspecified
- Discipline
- Software
- Industry
- Automotive
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Software
Perception Deployment Engineer responsible for compressing, accelerating, and deploying large-scale foundation models on edge vehicle hardware; optimize models, implement CUDA kernels, and ensure real-time, deterministic inference on power- and thermal-constrained SOCs.
Required
- compressing models
- accelerating models
- deploying models on edge devices
- CUDA kernels
- real-time deterministic execution
- production-ready large-scale models
- on-vehicle stack
Preferred
- multi-modal foundation models
- computer vision
- edge-AI
- performance optimization
- inference concurrency
- SOC power/thermal constraints
- embedded systems
Employer description
The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence.
As a Perception Deployment Engineer, you will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle stack. We are looking for experts with hands-on experience in compressing, accelerating, and deploying complex computer vision or foundation models for power- and thermal-constrained vehicle SOCs. You will optimize the ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices.
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