Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles. Take a ride now. Backed by Bessemer, Kleiner Perkins and Sequoia.
About the role
In this hybrid role, you will report to an Engineering Manager. 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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Expertise in C++ programming for GPU (CUDA or similar framework)
- Bachelor degrees in EECS, coupled with a minimum of five years of industry experience
- Solid understanding of GPU software stack
- Solid understanding of key GPU hardware characteristics that are important to GPU SW efficiency
- Proficiency in utilizing performance analysis tools and debuggers
- Enthusiasm for developing the complete GPU software stack, from the hardware level to real-world applications
More about this role
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...
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