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60 Waymo Robotics Engineer Jobs Hiring Near You

... Waymo safety program across the engineering and operations organizations. You have: * An advanced degree in Computer Science, Robotics, Engineering or other relevant technical field OR 4 years of ...

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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.
Infographic showing various Robotics Engineer job openings at Waymo in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% Physical, 26% Hybrid, and 3% Remote job distribution.

Senior/Staff ML Engineer, 3D/4D World Modeling, Simulation

Waymo

Mountain View, CA • On-site

$213K - $263K/yr

Full-time

Re-posted 22 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 Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing, training, and validation of the Waymo Driver. Our team is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers. We develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms, to model the real world, encompassing realistic agents, roads, traffic systems, weather, and the full sensor suite (Camera, Lidar, Radar).
To accelerate the fidelity, scalability, controllability, and richness of our simulations, we are pushing the frontiers of 3D world modeling. We leverage state-of-the-art ML technologies trained on large-scale datasets to create dynamic and semantically rich virtual worlds, directly impacting the development and validation of the Waymo Driver.
In this role, you will report to a Senior Staff Engineering Manager.
You will:
  • Lead the design, development and deployment of cutting-edge 4D world models and generative systems for ultra-realistic and controllable sensor and semantics generation for simulation use cases at waymo.
  • Architect and implement scalable and robust ML pipelines for training, evaluating, and deploying large-scale generative models into our simulation infrastructure, including techniques like model distillation and quantization.
  • Build and scale production-ready video generation techniques (e.g., Diffusion, Flow Matching) to create dynamic and interactive simulation environments.
  • Apply Vision Language Models (VLMs) to enhance the semantic understanding and controllability of our world simulation products.
  • Partner with world class research teams across Waymo and Alphabet to leverage State-of-The-Art research in 4D world modeling and generative AI into robust, production-ready solutions.
  • Mentor and provide technical guidance to other engineers on the team.

You have:
  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
  • 5+ years of experience in ML engineering and applied Deep Learning, with a strong portfolio of shipped products or publication record.
  • Proven experience in developing and training large-scale generative models for video generation (e.g., Diffusion models, Flow Matching) or Vision Language Models (VLMs) and their applications.
  • Deep expertise in 3D World Modeling or 3D computer vision.
  • Familiarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting).
  • Strong programming skills in Python and experience with ML frameworks such as Jax/Flax, PyTorch or Tensorflow.

We prefer:
  • PhD and a strong track record of delivering impactful ML products in 3D generative models, world models, or video generation..
  • Experience in simulating sensor data (Camera, Lidar, Radar) and/or semantic scenes.
  • Experience with autonomous systems, robotics, or autonomous vehicle simulation.
  • Experience in training and optimizing large scale models on GPU/TPU clusters for efficient serving.
  • Experience in C++ for production systems.

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