Engineering Manager, Onboard Execution Performance

 

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

BS in computer science, computer engineering, or related field

Proficiency with C++ & concurrent (parallel) execution systems

Deep knowledge and understanding of the Linux operating system and GPU accelerated execution

Proven track record of cross-functional collaboration and leadership alignment

Prior experience managing teams of five or more full-time software engineers

Bonus Qualifications

Hands-on experience with GPU runtime frameworks (CUDA, TensorRT, or XLA)

Experience in robotics, aviation, automotive, or high-performance computing space

Have shipped real-time or near-real-time software autonomy or robotics software in production

Experiencing debugging and optimizing CPU, GPU kernels, and ML models using tools like NVIDIA Nsight Systems and

Compute, Perfetto or similar compute observability tools