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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 Robotics Engineer jobs?

What are the most popular jobs at Waymo?

What are the most popular categories at Waymo?

Infographic showing various Robotics Engineer job openings at Waymo in the United States as of September 2026, with employment types broken down into 1% Internship, and 99% Full Time. Highlights an 70% Physical, 27% Hybrid, and 3% Remote job distribution.

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

Mountain View, CA • Hybrid

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

Full-time

Re-posted 3 days ago

Job description

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

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