Senior Staff Tech Lead Manager, Simulator Efficiency (Robotics)

TL;DR

Senior Staff Tech Lead Manager, Simulator Efficiency (Robotics): Leading the strategy and architecture for the simulator software stack to maximize performance and compute utilization with an accent on low-level optimization and resource management. Focus on optimizing CPU, GPU, and TPU usage, solving complex system bottlenecks, and ensuring the scalability of simulation environments for autonomous driving.

Location: On Site in Mountain View or San Francisco, California

Salary: $281,000—$356,000 USD

Company

Waymo is an autonomous driving technology company building the World's Most Experienced Driver to improve mobility and save lives through fully autonomous ride-hail services.

What you will do

• Develop simulator architecture improvements and frameworks to maximize performance and compute utilization.
• Evolve compute usage strategies to ensure the system scales efficiently within data centers.
• Collaborate with evaluation and infrastructure teams to identify and resolve compute performance bottlenecks.
• Design and optimize simulators to enable high throughput for both single instance and large-scale simulations.
• Establish high-scale performance evaluation, debugging, and software change management processes.
• Minimize CPU utilization, latency, and RAM consumption by optimizing distribution of computations across CPU, GPU, and TPU.

Requirements

• BS/MS in Computer Science, EE, Robotics, Physics, Math, or equivalent experience.
• 6+ years of experience working with large-scale or high-complexity systems.
• Proven track record of setting technical vision and driving multi-quarter roadmaps as a technical lead.
• Strong software management experience in the infrastructure, systems, or performance domains.
• Proficiency in C++.
• Must be based in or able to work on-site in Mountain View or San Francisco, California.

Nice to have

• Experience in robotics.
• Knowledge of low-level optimization techniques (SIMD, CUDA) and ML performance frameworks.
• Experience in large-scale evaluation techniques and building data science performance tooling.
• Experience leading large-scale software re-architecture projects.

Culture & Benefits

• Eligibility for a discretionary annual bonus program.
• Equity incentive plan.
• Generous company benefits program.
• Opportunity to work on industry-leading autonomous driving technology.