Waymo

Builds self-driving AI and runs a robotaxi service

Tech Lead Manager Onboard Software Performance

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeMountain View, CA, USAHybrid

About the Job

Requirements

A BS or MS in Computer Science, Electrical Engineering, Robotics, Physics, or Mathematics, or equivalent experience.
Six years of software engineering experience on a large-scale, high-complexity system supported by hundreds of engineers.
Two years of software management experience, with at least four years in an infrastructure, systems, or performance domain optimizing end-to-end system performance metrics.
Four years of experience acting as a technical lead in performance or software infrastructure.
Four years of experience in C++.

Responsibilities

Develop modular architecture improvements and frameworks for the autonomously driven vehicle to maximize performance, compute utilization, and return on investment for driving quality.
Evolve compute usage on the vehicle and in simulation to support continued scaling, enabling the system to run fast on the vehicle and efficiently in the data center.
Collaborate with onboard teams to identify and improve compute performance bottlenecks across the stack to improve performance and driving quality.
Collaborate with hardware teams to codesign hardware and software and optimize software performance on the hardware platform.
Ensure performance remains strong at all levels of driving complexity, including in increasingly complex driving environments and rare events.
Ensure state-of-the-art reaction latency for collision avoidance through novel system and architecture designs and extremely fast nominal performance.
Develop high-scale performance evaluation, debugging, and software change management processes.
Optimize system resource usage for simulation at scale in cloud data centers by minimizing CPU utilization, latency, and RAM consumption, and determining which computations should run on CPU, GPU, or TPU.
Define the roadmap and portfolio of projects to optimize overall results across all aspects of the problem space.
Set up collaboration structures across team boundaries.

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.

Onboard Software Performance team ensures that systems running on ADV (Autonomously Driven Vehicle) meet strict performance requirements such as producing necessary outputs within strict latency targets and using an appropriately allocated amount of compute resources (CPU/GPU/TPU/RAM etc) for each respective submodule. All of this needs to be done at scale with performance guarantees of many 9s of reliability while enabling high velocity of system evolution.

In this hybrid role, you will report to a Senior Staff Engineer, Technical Lead Manager.

You will:

Develop ADV's modular architecture improvements and frameworks that maximize performance and compute utilization and ROI for driving quality
Evolve our compute usage on the car and simulation to enable continued scaling where the system runs fast on the car and efficiently in our data center
Collaborating with onboard teams to identify and improve compute performance bottlenecks across the stack to improve performance/driving quality
Collaborating with hardware teams to codesign hardware/software and optimize the software for best performance on our hardware platform
Ensuring our performance is strong at any driving complexity including as we scale to even more complex driving environments and encounter rarer events
Ensuring state of the art reaction latency for collision avoidance via novel system/architecture designs and extremely fast nominal performance
Developing necessary high scale performance evaluation, debugging and software change management processes
Optimizing system resource usage to simulation at scale in Cloud datacenters: 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)
6 years of software engineering experience on large scale/high complexity system (supported by hundreds of engineers)
2 years of software management experience with at least 4 years in infrastructure/systems/performance domain optimizing end to end system for high performance metrics
4 years of experience acting as technical lead in performance/software infrastructure domain
4 years of experience 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

#LI-Hybrid

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

$238,000—$302,000 USD

Salary Range 238000 - 302000 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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