Engineering Manager, Compute Optimization
@ ZooxEngineering Manager, Compute Optimization
This job is still taking applications, but it's been up a while.
About the job
Zoox develops autonomous vehicles and systems at the intersection of robotics, ML, and design. This role leads performance engineers to optimize on-bot software amidst a fast-moving, innovative environment.
Requirements
- BS in computer science or related
- Proficiency with C++ programming
- Knowledge of CPU/GPU architectures
- Leadership and collaboration skills
- Experience managing software teams
Qualifications
- Deep understanding of hardware microarchitectures
- Proven track record in engineering leadership
- Experience with performance optimization
- Experience in robotics or high-performance computing
- Shipping real-time autonomous software
Full job 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 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.
In this role, you will:
- Manage a team of 7-10 engineers focused on optimizing the software performance of the on-bot autonomy software stack.
- Lead cross-functional optimization efforts with the goal of hitting strict system response (latency) targets.
- Achieve alignment between cross-functional leaders across the Software organization on compute resource allocations and budgets.
- Hire, grow, and develop talent in the realm of performance optimization.
- Build self-service frameworks that shifts performance optimization left to developers so that individual engineers can have quick iteration optimization loops.
Qualifications
- BS in computer science, computer engineering, or related field
- Proficiency with C++ & concurrent execution (parallel) programming frameworks
- Deep knowledge and understanding of CPU and recent GPU microarchitectures (e.g. Ampere, Blackwell)
- Proven track record of cross-functional collaboration and leadership alignment
- Prior experience managing teams of three or more FTE software engineers
Bonus Qualifications
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