Senior/Staff Software Engineer - Machine Learning & System Optimization
Zoox
Foster City, United States · Full-time · Robot Learning & AI
As a Machine Learning and System Optimization Engineer, you will orchestrate and allocate overall system capacity to various core perception models running on-bot, as well as drive large initiatives that allow for more efficient inference…
Apply on Zoox’s careers page- Company
- Zoox
- Location
- Foster City, United States
- Workplace
- Hybrid
- Type
- Full-time
- Level
- Staff / Principal
- Specialism
- Robot Learning & AI
- Team
- Autonomy Software
- Salary
- $254K–$350K
- Posted
- 30 June 2026
About the role
The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence. As a Machine Learning and System Optimization Engineer, you will orchestrate and allocate overall system capacity to various core perception models running on-bot, as well as drive large initiatives that allow for more efficient inference by sharing various parts of the perception stack with one another. 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 compressing, accelerating, and deploying complex models, including LLMs, VLMs, or foundation models, for power- and thermal-constrained vehicle SoCs. In addition, you will optimize ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices.