Engineering Manager, Compute Optimization
At a glance
Highlights
- High impact on self-driving compute
- Lead specialized performance team
- Focus on efficiency and power optimization
- Cross-functional collaboration with ML and autonomy
- Cutting-edge hardware-software integration
Why this role might suit you
The role offers leadership of a high-impact performance engineering team working on cutting-edge self-driving compute, providing exposure to advanced hardware-software integration and opportunities to shape system efficiency at scale.
Skills
About the role
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 PCU alive, healthy, and performant to ensure that our on-bot autonomy software meets its latency targets while also accommodating its safety goals.
As a Compute Optimization team leader within the Software Core 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.
Compensation
This Engineering Manager role pays $245k-$307k/yr. Within typical range for engineering manager roles in United States.
Questions about this role
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.