Zoox
Senior/Staff Software Engineer - Machine Learning & System Optimization
Foster City, CA · On-site · Senior
- Discipline
- Software
- Industry
- Automotive
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Software
Two sentences, spec-sheet tone. Place, craft, constraints. No slogans. Do not start with "Two sentences".
Required
- CUDA kernels
- inference optimization
- edge devices
- on-vehicle stack
- large-scale model deployment
- real-time deterministic execution
- system optimization
- production-ready models
Preferred
- LLMs
- VLMs
- foundation models
- power/thermal management
- multi-modality models
- continuous integration
- distributed systems
- highly concurrent inference
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 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.
Stateside Spec lists roles for engineering teams in the United States. Work-authorization notes come from the employer. We do not guarantee visa policy. Apply off-site. Report an issue with this listing View employer source