ZipRecruiter

Log In

Waymo
Waymo

60 Waymo Planning Engineer Jobs Hiring Near You

Waymo

Analysis Infra SWE

Mountain View, CA · On-site

$204K - $259K/yr

... programming languages, especially C++. * Experience Comment start with capacity planning, resource ... Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program ...

previous pagenext page

Showing results 21-40

All JobsWaymo JobsWaymo Planning Engineer Jobs

Waymo Jobs Information

What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.

What makes Waymo an attractive place to work?

Waymo is a leading autonomous driving technology company, a subsidiary of Alphabet Inc., and a pioneer in the development of self-driving cars. The company's workplace is characterized by a culture of innovation, collaboration, and experimentation, with opportunities for engineers and researchers to work on cutting-edge projects and contribute to the advancement of autonomous driving technology. Joining Waymo offers the chance to be part of a team that is shaping the future of transportation and mobility, with opportunities for professional growth, learning, and making a meaningful impact on society.
What other companies are hiring for Planning Engineer jobs?
What are the most popular jobs at Waymo?
What are the most popular categories at Waymo?
Infographic showing various Planning Engineer job openings at Waymo in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, and 4% Remote job distribution.

Machine Learning Engineer, GPU Kernel and Runtime

Waymo

Mountain View, CA • On-site

$213K - $263K/yr

Full-time

Posted 23 days ago

Job description

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 Waymo ML Infrastructure team accelerates Waymo's mission, by building the best ecosystem for sustainably innovating and shipping ML powered intelligence.
Research, Production, and the Hardware teams are our primary stakeholders and our work powers the development of the state of the art models in the areas of Perception and Trajectory planning that are core to our autonomous driving software. We enable our partners by offering the best in class solutions for the entire model development lifecycle. These solutions include understanding the model business goals and platform hardware characteristics, and codesign the models for the hardwares. These solutions are developed in close collaboration with teams at different modeling teams. Scale and efficiency are core tenets our infra follows.
We are looking for engineers with ML software & systems expertise to help build the next generation Waymo onboard ML inference engine for Waymo fundamental model. You'll work across the entire ML stack from the system perspective, from efficient deep learning models, model compression, ML software (e.g. JAX, XLA, Triton, and CUDA), to . You will be pleasantly challenged with deploying Waymo ML models on limited computation resources. In this hybrid role, you will report to the Senior Manager of Runtime and Optimization.
You will:
  • Collaborate with ML practitioners on models for perception, behavior prediction, and planning, to understand their models and accelerate them onboard through custom NVIDIA GPU kernel development.
  • Deep dive into the NVIDIA ML software and runtime stack, from custom CUDA ops to the XLA:GPU compiler and low-level libraries. Analyze numeric behaviors, debug complex compiler issues, and ensure inference results are stable and consistent. Develop tools/system software for optimal resource usage, hardware efficiency, and platform reliability in an ML serving system.
  • Analyze ML workload performance at the hardware level; apply manual and AI agent-assisted techniques and develop highly optimized, custom CUDA/Triton operator libraries tailored to Waymo's specific architectures.
  • Build tools to benchmark, profile GPU execution, and productize deep learning models for a streamlined and robust onboard and offboard deployment.

You Have:
  • B.S. or M.S. in CS, EE, Deep Learning or a related field
  • 5+ years of industry experience on system performance, hardware-level GPU optimization, or ML compilers
  • Strong C++ and CUDA programming skills
  • Extensive experience in NVIDIA GPU Kernel development to accelerate deep learning models
  • Proven debugging and optimization experience on the XLA:GPU compiler, as well as the NVIDIA runtime stack
  • Passion for developing and optimizing ML software stacks for modern ML accelerator architectures (framework, runtime library, ML compiler, efficient deep learning etc.)

We Prefer:
  • M.Sc or PhD in Computer Science, Mathematics or a related field.
  • Strong Python programming skills.
  • Experience with advanced NVIDIA profiling (e.g., Nsight Compute) and debugging (e.g. cuda-gdb) tools.
  • Solid experience with designing, training and debugging deep learning models to achieve the highest scores/accuracies.
  • In-depth knowledge of ML frameworks, ML compilers, and IRs (Triton, HLO, MLIR, CuTe DSL, cuTile) or modern ML system architectures.
  • Role-Related Knowledge
    • C++ Coding
    • CUDA profiling & debugging
    • ML runtime optimization
    • Custom GPU kernel development

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.
Salary Range
$213,000-$263,000 USD

Apply