Waymo

Builds self-driving AI and runs a robotaxi service

Senior Staff Tech Lead Manager - Simulator Efficiency

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeIn-person

About the Job

Requirements

A BS or MS in Computer Science, Electrical Engineering, Robotics, Physics, Mathematics, or a related field, or equivalent experience.
A proven track record of setting technical vision, driving multi-quarter roadmaps, and delivering impactful data projects as a technical lead for senior engineering teams, with demonstrated ability to influence across organizational boundaries.
Ability to articulate complex technical designs, trade-offs, and strategies to diverse stakeholders, including senior leadership and partner engineering, data scientists, and product teams.
At least 6 years of experience working on large-scale or high-complexity systems.
Solid software management experience in the infrastructure, systems, or performance domain, optimizing end-to-end systems for high-performance metrics.
Extensive experience acting as a technical lead in the performance or software infrastructure domain.
Proficiency in C++.
Ability to define a roadmap or portfolio of projects optimized for overall results across all aspects of the problem space.
Ability to set up collaboration structures across team boundaries.

Responsibilities

Develop simulator architecture improvements and frameworks that maximize performance and compute utilization.
Evolve simulation compute usage to enable continued scaling and efficient operation in data centers.
Collaborate with evaluation and infrastructure teams to identify and improve compute performance bottlenecks across the stack.
Design, build, and optimize the simulator to enable high throughput and high compute utilization for single-instance and large-scale simulations.
Develop high-scale performance evaluation, debugging, and software change-management processes.
Optimize system resource usage for simulation at scale by minimizing CPU utilization and latency, minimizing RAM consumption, and determining which computations should run on CPU, GPU, and TPU.
Lead the Simulator Platform’s efficiency efforts and represent the team in broader Waymo performance-related efforts.

Desired Qualifications

Experience in robotics.
Experience with low-level optimization techniques and frameworks such as SIMD and CUDA, and with machine-learning performance and frameworks.
Experience with large-scale evaluation techniques, data science, and building performance metrics and tooling.
Experience with large-scale software re-architecture projects.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. The Simulator platform is complex and evolving. To ensure that Waymo's Simulation and Evaluation system can scale with new developing Simulation technologies as well as Waymo's growth, this technical leadership role will look across multiple teams and guide strategy for the entire Simulator software stack. This can be everything from low-level optimization up through higher level configuration, all with an eye towards improved utilization across various resources (CPU/RAM/TPU/GPU). You will lead the Simulator Platform's efficiency efforts and represent the team in wider Waymo performance-related efforts.

You will:

Develop Simulator's architecture improvements and frameworks that maximize performance and compute utilization.
Evolve compute usage of simulation to enable continued scaling where the system runs efficiently in our data centers.
Collaborate with evaluation and infrastructure teams to identify and improve compute performance bottlenecks across the stack
Design, build, and optimize the simulator to enable high throughput and high compute utilization for both single instance simulation and large scale simulations.
Developing necessary high scale performance evaluation, debugging and software change management processes
Optimizing system resource usage to simulation at scale: minimizing CPU utilization and latency, minimizing RAM consumption, intelligently determining which computations should happen on CPU, GPU, and TPU.

You have:

BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
Proven track record of setting technical vision, driving multi-quarter roadmaps, and delivering impactful data projects as a technical lead for senior engineering teams, with demonstrated ability to influence across organizational boundaries.
Excellent communication skills, with the ability to articulate complex technical designs, trade-offs, and strategies to diverse stakeholders, including senior leadership and partner engineering, data scientists, and product teams.
6+ years experience on large scale or high complexity system
Solid software management experience in infrastructure/systems/performance domain optimizing end to end system for high performance metrics
Extensive experience acting as technical lead in performance/software infrastructure domain
Proficient in C++
Define roadmap/portfolio of projects optimizing for end results overall across all aspects of the problem space
Setup collaboration structures across team boundaries

We prefer:

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

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$281,000—$356,000 USD

Salary Range 281000 - 356000 USD

About the Company

Waymo

Builds self-driving AI and runs a robotaxi service

Waymo builds self-driving technology and uses it to run a ride-hailing service in which passengers summon electric cars with no one behind the wheel. In 2020, it became the first company to open fully driverless rides to the public, starting in metro Phoenix. Its system, the Waymo Driver, pairs cameras, radar and laser sensors called lidar with onboard computers whose AI predicts what nearby people and vehicles will do and drives the car. Riders pay per trip through the Waymo app, or through Uber in some cities, while Waymo and fleet partners keep the cars charged and maintained. Waymo began as a Google project in 2009 and became a separate Alphabet company in 2016; it is based in Mountain View, California.

Company size: 1,001-5,000
Company stage: Debt Financing
Total funding: $32.1B
Headquarters: Mountain View, CA
Founded: 2009

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