ZooxEngineering Manager, Performance Optimization
Zoox is hiring an Engineering Manager, Performance Optimization in Foster City, United States. It pays $237k-$322k a year and Level rates it ; you can apply on Level.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Cpu, GPU and Accelerators.
- Level files it as a lead role.
- Level lists 239 other open roles at Zoox.
AI in this role
Lead a software performance team optimizing on-board autonomy runtime, compute utilization, and throughput for self-driving systems.
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.
How we rate this
Engineering Manager, Performance Optimization at Zoox rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Tell me about a project where performance optimization was part of your work. What did you do?
- Tell me about a project where engineering management was part of your work. What did you do?
- Tell me about a project where autonomous vehicles was part of your work. What did you do?
- Tell me about a project where middleware was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Fine-tuning, Performance Optimization, Engineering Management, Autonomous Vehicles, and Middleware. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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