Senior Simulator Platform Tech Lead - Scale & Performance

Waymo LLC

Mountain View (CA)

On-site

USD 281,000 - 356,000

Full time

14 days+

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Benefits offered by this job

Annual bonus program
Equity incentive plan
Company benefits program

Job summary

Waymo LLC is seeking a technical leader for the Simulator Platform to drive architecture, performance, and scalability across the Waymo Driver simulation stack. You will steer multi-team collaboration and deliver high-efficiency simulations for end-to-end evaluation.

The role emphasizes low-level optimization to high-level configuration, targeting reduced CPU/RAM usage and improved throughput with CPU/GPU/TPU decisions. Strong communication with senior stakeholders is essential.

Qualifications

  • BS/MS in CS, EE, Robotics, Physics, Math, or related field.
  • 6+ years experience on large-scale or high-complexity systems.
  • Proven ability to set technical vision and roadmaps with senior teams.
  • Excellent communication with leadership and partner teams.

Responsibilities

  • Develop Simulator architecture improvements for high performance and utilization.
  • Scale simulation compute usage across data centers and clusters.
  • Identify bottlenecks with evaluation and infrastructure teams.
  • Design, build, and optimize high-throughput simulator runs.
  • Establish performance evaluation and change-management processes.
  • Optimize resource usage across CPU, GPU, and TPU.

Skills

Proficient in C++
Technical leadership
Excellent communication
Large-scale systems experience
Performance optimization
Roadmap planning
Cross-team collaboration

Education

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

Tools

CUDA
Performance profiling
Simulation frameworks

Job description

Waymo LLC is seeking a technical leader for the Simulator Platform to drive architecture, performance, and scalability across the Waymo Driver simulation stack. You will steer multi-team collaboration and deliver high-efficiency simulations for end-to-end evaluation.

The role emphasizes low-level optimization to high-level configuration, targeting reduced CPU/RAM usage and improved throughput with CPU/GPU/TPU decisions. Strong communication with senior stakeholders is essential.

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