Engineering Manager, Onboard Execution Performance

Ev Magazine; Foster City (CA); Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Health insurance

Stock options and RSUs

Sign-on bonus

Paid time off

Job summary

Zoox in Foster City, CA is seeking an Engineering Manager for the Onboard Execution Performance team to lead 8–10 software performance engineers. You will partner with Autonomy, ML Platform, Middleware, Sensors, and Hardware Architecture to optimize on-bot runtime and meet strict latency and compute targets.

This role combines leadership with hands-on optimization of CPU/GPU kernels and ML model inference, spanning robotics, software architecture, and hardware.

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

Responsibilities

• Manage a team of 8–10 engineers focused on optimizing the software performance of the on-bot autonomy software stack.
• Partner with Autonomy, ML Platform, Middleware, Sensors, and Hardware Architecture teams to meet strict system latency and compute targets.
• Align cross-functional leaders on compute resource allocations and budgets.
• Hire, grow, and develop talent in performance optimization.

Skills

C++

Concurrent execution

Linux

Cross-functional collaboration

Team leadership

Education

BS in computer science or computer engineering

Tools

NVIDIA Nsight Systems

Perfetto

CUDA

TensorRT

XLA

Compute profilers

Job description

# Engineering Manager, Onboard Execution PerformanceFoster City, CA · hybrid · Full-timeSoftwarehybridFull-timeUSFoster CitySeattleSHARE THIS JOBDirect links only. No trackers, no third-party scripts.FacebookXLinkedInWhatsAppTelegramRedditBlueskyThreadsPinterestEmail## About the roleZoox 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:Manage a team of 8-to-10 engineers focused on optimizing the software performance of the on-bot autonomy software stack. Partner with Autonomy, ML Platform, Middleware, Sensors, and Hardware Architecture teams to meet strict system response (latency) and compute utilization 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 force-multiplier frameworks & workflows that empower developers to deliver efficient & performant software.## QualificationsBS 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 QualificationsHands-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## CompensationBase 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 the employerAbout 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. Follow us on LinkedIn 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.