Role at a glance
- Salary
- $175K – $215K/yr
- Location
- Mountain View, California, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- 3 years of experience as a software engineer or similar roles
- Education
- BS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
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Role Summary
Waymo's Onboard Software Performance team ensures that onboard systems meet strict latency targets and use allocated compute resources (CPU/GPU/TPU/RAM) efficiently at scale. This engineer role develops performance frameworks, collaborates with onboard and hardware teams, and improves simulation resource usage in cloud datacenters.
What You'll Do
- Develop ADV's modular architecture improvements and frameworks that maximize performance and compute use and ROI for driving quality
- Evolve compute usage on the car and in simulation to support scaling where the system runs fast on the car and in the data center
- Collaborate with onboard teams to identify and improve compute performance bottlenecks across the stack
- Collaborate with hardware teams to codesign hardware and software for best performance on the hardware platform
- Ensure reaction latency for collision avoidance and help design novel system architecture for extremely fast nominal performance
- Improve system resource usage for simulation at scale in Cloud datacenters, minimizing CPU use, latency, and RAM usage
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A BS in a related technical field (or equivalent experience) with 3 years of software engineering, 3 years of C++, and 3 years of profile-guided optimization experience.
Required
- BS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
- 3 years of experience as a software engineer or similar roles
- 3 years of experience in C++
- 3 year of experience optimizing software using profile guided techniques
Preferred
- 2 years in infrastructure/systems/performance domain optimizing end-to-end systems
- 2 years of experience working on a large-scale/high complexity system (supported by hundreds of engineers)
- Experience in robotics
- Experience in low-level optimization techniques, frameworks (SIMD/CUDA) and ML performance/frameworks
- Experience in evaluation techniques
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.
The Onboard Software Performance team ensures that systems running on our Waymo's meet strict performance requirements such as producing necessary outputs within strict latency targets and using the allocated amount of compute resources (CPU/GPU/TPU/RAM) for each respective submodule. All of this needs to be done at scale with performance guarantees of many 9s of reliability while promoting high velocity of system evolution.
You will:
- Develop ADV's modular architecture improvements and frameworks that maximize performance and compute use and ROI for driving quality
- Evolve our compute usage on the car and simulation to promote continued scaling where the system runs fast on the car and in our data center
- Collaborate with onboard teams to identify and improve compute performance bottlenecks across the stack to improve performance/driving quality
- Collaborate with hardware teams to codesign hardware/software and improve the software for best performance on our hardware platform
- Ensure reaction latency for collision avoidance with and help design novel system/architecture for extremely fast nominal performance
- Develop necessary high scale performance evaluation, debugging and software change management processes
- Improve system resource usage to simulation at scale in Cloud datacenters: minimizing CPU use and latency, minimizing RAM usage, intelligently determining which computations should happen on CPU, GPU, and TPU.
You have:
- BS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
- 3 years of experience as a software engineer or similar roles
- 3 years of experience in C++
- 3 year of experience optimizing software using profile guided techniques
We prefer:
- 2 years in infrastructure/systems/performance domain optimizing end-to-end systems
- 2 years of experience working on a large-scale/high complexity system (supported by hundreds of engineers)
- Experience in robotics
- Experience in low-level optimization techniques, frameworks (SIMD/CUDA) and ML performance/frameworks
- Experience in evaluation techniques
#LI-Hybrid
This is a hybrid remote/in-office role.
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.