Senior Staff Tech Lead – Simulator Performance

Waymo LLC; San Francisco (CA); On-site; USD 281,000 - 356,000; Full time

Benefits offered by this job

Discretionary annual bonus program

Equity incentive plan

Company benefits program

Job summary

Waymo LLC is seeking a technical leader for the Simulator Platform to guide efficiency efforts across the stack. You will optimize architecture and resource use, from low‑level optimization to high‑level configuration, to scale the Waymo Driver simulations on data centers.

You will lead performance initiatives, coordinate with evaluation and infrastructure teams, and drive roadmaps for high‑throughput, low‑latency simulations using C++ and GPU/TPU accelerators.

Qualifications

• BS/MS in CS, EE, robotics, physics, math, or equivalent experience.
• 6+ years on large scale or high complexity systems.
• Proven track record leading technical vision and roadmaps.
• Excellent communication with leadership and cross‑functional teams.
• Proficient in C++ and performance optimization.

Responsibilities

• Develop simulator architecture improvements and frameworks for performance.
• Evolve compute usage to scale simulations in data centers.
• Collaborate to identify and fix bottlenecks across the stack.
• Design and optimize simulator for high throughput and compute utilization.
• Develop high scale performance evaluation, debugging, and change management.
• Optimize resource usage across CPU, GPU, and TPU.

Skills

C++

Leadership

Communication

Performance optimization

Distributed systems

Hardware acceleration

Education

BS/MS in CS/EE/Robotics/Physics/Math or equivalent

Tools

CUDA

SIMD

TPU

Job description

Waymo LLC is seeking a technical leader for the Simulator Platform to guide efficiency efforts across the stack. You will optimize architecture and resource use, from low‑level optimization to high‑level configuration, to scale the Waymo Driver simulations on data centers.

You will lead performance initiatives, coordinate with evaluation and infrastructure teams, and drive roadmaps for high‑throughput, low‑latency simulations using C++ and GPU/TPU accelerators.