About the 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 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 an Engineering Manager.
You will:
- Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across diverse GPU backends
- Collaborate with Waymo's internal hardware team and external partners on SoC projects with a focus on the GPU portion
- Manage the bring-up, correctness, and performance of the Waymo onboard stack on new GPU platforms
- Contribute to testing infrastructure that enhances the CI/CD flow for GPUs, detects bugs early, and generates automated alerts to maintain the GPU stack's functionality and performance
- Create profiler and debugger tools for new GPU platforms
You have:
- 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
We prefer:
- Master/doctorate degree in EECS
- Prior excellence in landing solid, sophisticated, and efficient solutions at any level of the GPU stack
- Deep insights into GPU kernel performance, compilation flow, and driver stack
- Knowledgeable of Linux driver and embedded firmware
- Ability to quickly ramp on a diverse set of heterogeneous platforms and start solving problems
- Clear technical communicator, good leader and collaborator
- Familiarity with GPU libraries such as Thrust, CUB, CUTLASS, or Eigen
- Experience contributing to open-source compiler projects such as LLVM or SPIR-V
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.
Aplyr's read
Waymo is a leader in autonomous vehicle technology, attracting talent passionate about transforming transportation with innovative self-driving solutions.
What's promising
- •Waymo benefits from Alphabet's resources, providing robust support for research and development.
- •The company is pioneering in autonomous vehicle technology, setting industry standards.
- •Waymo's diverse hiring across roles indicates a comprehensive approach to scaling operations.
What to watch
- •Regulatory hurdles could delay widespread adoption of self-driving technology.
- •High competition in the autonomous vehicle market may impact Waymo's market share.
- •Operational challenges in scaling ride-hailing services could affect growth.
Why Waymo
- •Waymo's extensive real-world testing gives it a competitive edge in data-driven development.
- •The company's collaboration with Alphabet enhances its technological capabilities.
- •Waymo's focus on safety and reliability differentiates it in the autonomous vehicle sector.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Waymo
Waymo is a self-driving technology company that aims to make it safe and easy for people and things to get where they’re going. As a subsidiary of Alphabet Inc., Waymo is at the forefront of autonomous vehicle technology, significantly impacting the future of transportation.
