Senior/Staff Software Engineer - Machine Learning & System Optimization
Zoox · Hybrid
MeritLog read this listing from Zoox's Lever job board and last checked it on September 11, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- $254,000 - $350,000
- Location
- Foster City, CA; Boston, MA; Seattle, WA
Hiring context
How this role compares at Zoox
Zoox has 243 live roles in MeritLog’s catalog across 11 job families, and 46 of them are in data & analytics. 228 of those listings publish a pay range, a disclosure rate of 94%.
This role's posted range of $254,000 - $350,000 sits above 89% of the 221 other Zoox roles quoted over the same currency and period.
Zoox concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
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 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.