Engineering Manager, Onboard Execution Performance
at Zoox
- Location
- Foster City, CA; Seattle, WA — US
- Mode
- On-site
- Level
- Lead / Manager
- Posted
- Apr 17, 2026
- Salary
- $237k–$322k
You’ll apply on the company’s own site.
- c++
- cuda
- gpu
- linux
- tensorrt
- performance optimization
- robotics
- autonomy
Pay context
Lead / Manager ML Engineering roles on this board that post annual USD salaries: median $293k, middle half $259k–$329k, across 56 postings from 21 companies. The midpoint of this role's posted range sits right at that median.
Hiring at Zoox
62 open AI roles listed here · 10 added in the past 30 days · 1 remote.
Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.
The Software Performance team keeps the main onboard computer healthy and performant to ensure that our on-bot autonomy software meets its latency targets while also accommodating its safety goals. We are responsible for the efficient allocation of onboard compute resources (CPU/GPU/Memory/accelerators) ensuring contention is minimized and the autonomy stack executes harmoniously.
As the Onboard Execution team leader within the Performance team, you will lead a highly specialized team of software performance engineers in aggressively optimizing on-bot software runtime. This is a high impact role that sits at the intersection of ML Platform, Core, and Autonomy Software - ensuring that efficient compute utilization is a central tenet emphasized across the organization.
In this role, you will:
Qualifications
Bonus Qualifications
You’ll apply on the company’s own site.