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.
Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms.
In this hybrid role, you will report to a Software Engineering Manager
You will:
- Identify important compute workloads for autonomous vehicles and understand their performance characteristics
- Develop and maintain tests and tools for numerical correctness, become the main expert on ML numerics
- Implement optimizations in compute workloads for the current and next-generation hardware/software stack
- Build benchmarks and reduced workload applications to prototype and stress test the next-generation hardware/software stack
- Collaborate with the broader software organization to ensure optimal and efficient use of next-generation compute platforms
- Interact with hardware teams to provide key results and insights over the next-generation hardware design and decision making
You have:
- MS degree in Computer Science or Computer Engineering
- Proficiency in C++
- In-depth knowledge of compute architecture, compiler, and operating system
- A minimum of five years of professional or research experience in performance analysis and optimization
We prefer:
- GPGPU/accelerator programming
- Knowledge of ML algorithms and their numerical properties.
- Experience with software engineering in edge computing especially in autonomous vehicle
#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.
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