Zoox
Engineering Manager, Performance Optimization
Foster City, CA · On-site · Manager
- Discipline
- Software
- Industry
- Automotive
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Software
Engineering Manager role leading a software performance team focused on optimizing onboard compute and resource utilization for autonomous driving software; located in Foster City, CA.
Day shift
Required
- lead software performance engineers
- optimize on-bot software runtime
- allocate onboard compute resources
- minimize contention
- ML Platform
- Core and Autonomy Software integration
Preferred
- experience with CPU/GPU/memory/accelerators
- passion for high-throughput low-latency systems
- leadership of hardware-software co-design teams
Employer description
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.
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