Role at a glance
- Salary
- $238K – $302K/yr
- Location
- Mountain View, California, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Education
- BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
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Role Summary
The Onboard Software Performance team improves the performance, compute utilization, latency, and reliability of systems running on autonomous vehicles and in simulation. This role develops architecture, hardware/software optimization, and evaluation processes that support driving quality and scaling across vehicles and cloud datacenters.
What You'll Do
- Develop ADV modular architecture improvements and frameworks that maximize performance and compute utilization for driving quality
- Evolve compute usage on the car and in simulation to support system scaling in vehicles and data centers
- Identify and improve compute performance bottlenecks across the onboard software stack
- Collaborate with hardware teams to codesign hardware and software and optimize software for the hardware platform
- Develop performance evaluation, debugging, and software change management processes at scale
- Optimize CPU, GPU, TPU, RAM usage, and latency for simulation at scale in cloud datacenters
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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; 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++
Required
- 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...
- 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
Preferred
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
About the company
Waymo
Large Enterprise
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.