Job 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 Model Optimization & 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 models (LLMs, VLMs, or FMs) 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.
Responsibilities
In this role, you will:
Requirements
Qualifications:
Bonus Qualifications:
About the job
- Posted on
- Apr 11, 2026
- Job type
- Full-time
- Location
- Boston, MAHybrid
Keep looking
Related roles you might like
Senior/Staff Software Engineer, ML Training Optimization
zoox
On-siteFull-time4 days ago
Systems Engineer, Autonomy Verification and Validation
zoox
HybridFull-time6 days ago
Senior Technical Program Manager, Manufacturing Capacity
zoox
On-siteFull-time7 days ago
Operations Program Manager, Advanced Hardware Manufacturing
zoox
On-siteFull-time7 days ago
Contract Student Worker – AI Validation and Benchmarking Engineer (40hrs / week Full-Time)
zoox
HybridContract7 days ago
Contract Student Worker - Freeways Data Evaluation (20 hrs/wk)
zoox
On-siteContract7 days ago
Senior / Staff Machine Learning Engineer - 3D Sensor Simulation
zoox
HybridFull-time8 days ago
Explore more
Browse more jobs like this
Disclaimer: Real Jobs From Anywhere is an independent platform dedicated to providing information about job openings. We are not affiliated with, nor do we represent, any company, agency, or agent mentioned in the job listings. Please refer to our Terms of Services for further details.
