Engineering Manager, Compute Optimization

Zoox; Foster City (CA); On-site; USD 245,000 - 307,000; Full time

Benefits offered by this job

RSUs and stock options

Sign-on bonus

Health insurance

Job summary

Zoox is seeking a Compute Optimization team leader to spearhead performance work on the on-bot autonomy software stack. You will guide a team of engineers, drive latency-focused optimization, and coordinate with software leaders to allocate compute resources.

You will hire and mentor talent, build self-service performance tools, and push optimization early in the development cycle to accelerate iteration while maintaining safety and reliability goals.

Qualifications

• BS in computer science, computer engineering, or related field.
• Proficiency with C++ and concurrent execution (parallel) programming frameworks.
• Deep knowledge 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.

Responsibilities

• 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 latency targets.
• Align cross-functional leaders on compute resource allocations and budgets.
• Hire, grow, and develop talent in performance optimization.
• Build self-service frameworks that shift performance optimization left to developers.

Skills

C++ & concurrent execution

Cross-functional collaboration

Leadership alignment

Team leadership (3+ engineers)

Performance optimization

Education

BS in computer science or computer engineering

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

• 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 Nsight Systems and Compute, Perfetto or similar compute observability tools

$245,000 - $307,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate’s relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [e-mail] or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.