Senior AI Inference Engineer - Model Optimization & Deployment
Zoox · Autonomy Software
- Location
- Foster City, CA · San Diego, CA · Seattle, WA
- Metro
- San Francisco Bay Area, San Diego, Seattle
- Workplace
- Hybrid
- Level
- Senior
- Type
- Full-time
- Pay
- $225K–$305K/yr (published by employer)
- Posted
- 7 months ago
- Source
- Lever
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What the posting covers
About the company
The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence. As a Model Optimization & Deployment Engineer, you will focus on bringing highly efficient, production-ready…
In this role, you will
Optimize large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs) using advanced quantization (PTQ, QAT), pruning, mixed-precision inference frameworks, and parameter-efficient fine-tuning (LoRA, QLoRA). Architect and implement model conversion and…
Qualifications
Deep expertise in model quantization (PTQ, QAT) and mixed-precision inference frameworks (INT8, FP8, FP4, BF16/FP16). Proven experience optimizing large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs/VLAs) utilizing Efficient Attention mechanisms…
Bonus Qualifications
Familiarity with SOTA autonomous driving perception algorithms (temporal 3D object detection, BEV, 3D Occupancy Networks) and multi-modal sensor processing (Vision, LiDAR, Radar). Experience with distributed training pipelines and model/tensor parallelism…
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of…
Excerpts only. The employer’s page has the complete posting.