Engineering Manager: Onboard Compute 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

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.