Waymo
Waymo

60 Waymo Sensor Fusion Engineer Jobs Hiring Near You

Waymo's Systems Engineering team works together to blend software and hardware systems in ... radar sensor data * Experience with testing safety-critical systems. * Experience with C+

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... We work with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to ...

Staff Hardware Reliability Engineer

Mountain View, CA · On-site

$120K - $152K/yr

Lead the reliability program for a Waymo hardware product area (e.g. LiDAR) across its full ... Experience in OEM automotive, Tier-1 suppliers, autonomous vehicle or sensor domain reliability

We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous ... We are seeking an experienced Sensor Electrical Engineer to join our Hardware/Sensor team. In this ...

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Collaborate with Engineering, Research, Systems Engineering, Safety, and Operations teams to gather ...

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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.

What other companies are hiring for Sensor Fusion Engineer jobs?

Infographic showing various Sensor Fusion 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 68% Physical, 28% Hybrid, and 4% Remote job distribution.

Senior Machine Learning Engineer, Simulation Evaluation

Mountain View, CA • On-site

Waymo
Internet and IT • 1 - 5K employees

$213K - $263K/yr

Full-time

Re-posted 26 days ago


Key responsibilities

  • Lead the design, development and deployment of evaluation approaches to assess realism of multimodal world models and generative systems for simulation.

  • Architect and implement scalable machine learning pipelines for tuning, evaluating, and deploying discriminator models for simulator realism evaluation.

  • Evaluate video generation techniques and apply vision language models to measure and understand the realism and controllability of world simulation products.


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 Challenge
Waymo's simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. The Simulator Evaluation team faces the ultimate data challenge: How do you mathematically prove that a virtual world is "real"?
We are seeking visionary machine learning engineers and researchers to architect the scalable deep learning systems, novel data workflows, and eval tools that power our research roadmap. In this role, you will pioneer the machine learning and generative vision paradigms required to define and measure the realism of our multimodal world models. Your work will define the state of the art for autonomous simulation, directly steering our research trajectory and the capabilities of the Waymo Driver.
You will:
  • Lead the design, development and deployment of cutting-edge evaluation approaches to assess realism of state-of-the-art multimodel world models and generative systems for simulation use cases at Waymo.
  • Architect and implement robust and scalable machine learning pipelines for tuning, evaluating, and deploying large-scale discriminator models for the purposes of simulator realism evaluation.
  • Evaluate open-source and production-ready video generation techniques that measure realism (e.g. temporal stability, multi-modal consistency, geometric discrepancy, condition following, etc.)
  • Apply vision language models to evaluate semantic understanding and controllability across our world simulation products.
  • Collaborate with research teams across Waymo and Alphabet to integrate advancements in 4D world modeling and generative AI into production systems.
  • Mentor engineers on the team and provide technical guidance on architecture and execution.

You have:
  • Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field.
  • Five or more years of experience in machine learning engineering or applied deep learning, supported by a portfolio of shipped products or peer-reviewed publications.
  • Proficient programming skills in Python and hands-on experience with modern machine learning frameworks such as Jax, Flax, or PyTorch.
  • Experience designing and implementing evaluation frameworks for complex systems or machine learning models.

We prefer:
  • Track record of training large-scale generative models (diffusion models, flow matching, vision language models, etc.)
  • A PhD and demonstrated success delivering machine learning products focused on 3D generative models, world models, or video generation.
  • Experience simulating sensor data, including camera, lidar, and radar, or modeling semantic scenes.
  • Experience developing autonomous systems, robotics software, or autonomous vehicle simulations.
  • Experience training and optimizing large-scale models on GPU or TPU clusters for efficient production serving.
  • Professional experience writing C++ for high-performance production systems.

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