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Waymo Openings Jobs (NOW HIRING)

Waymo

Technical Writer

San Diego, CA · On-site

Design at Waymo is about the total experience-not just how the product looks, but how it works, how ... Experience solving open-ended content problems and leading documentation projects that prioritize ...

Waymo

Senior Business Intelligence Analyst

San Diego, CA · Hybrid

... Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information. This role follows a hybrid work schedule and you will report to the Manager of Product Data Science. You ...

Waymo

Staff Technical Writer

San Diego, CA · On-site

Design at Waymo is about the total experience-not just how the product looks, but how it works, how ... A track record of solving large, open-ended content problems and leading documentation projects of ...

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How much do waymo openings jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for waymo openings in the United States is $17.54, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.75 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Waymo Engineer, and why are they important?

To thrive as a Waymo Engineer, you need a solid background in computer science, robotics, or a related field, often supported by a relevant degree and experience in software development or autonomous systems. Familiarity with programming languages like Python or C++, machine learning frameworks, and simulation tools is highly valued, as are certifications in AI or autonomous vehicle technologies. Strong problem-solving, teamwork, and adaptability help engineers excel in a fast-paced, innovative environment. These skills and qualities are crucial for developing safe, reliable self-driving technology and collaborating effectively across multidisciplinary teams.

What types of collaborative projects can employees expect to work on at Waymo?

At Waymo, employees often work on multidisciplinary teams that bring together experts in software engineering, machine learning, hardware design, product management, and operations. Projects frequently involve developing and refining autonomous driving technology, testing in simulated and real-world environments, and integrating new features to enhance safety and user experience. Collaboration is key, with regular cross-functional meetings and opportunities to contribute ideas across different stages of product development. This team-oriented environment fosters innovation and provides valuable exposure to state-of-the-art autonomous vehicle technology.

What are Waymo Openings?

Waymo Openings refer to current job opportunities available at Waymo, a leading autonomous driving technology company. These openings can include roles in engineering, software development, safety operations, product management, research, and more. Waymo seeks talent passionate about self-driving technology and innovation. Job postings typically detail required qualifications, responsibilities, and benefits. Candidates can apply directly through Waymo's official careers website, where new opportunities are regularly updated.
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What states have the most Waymo Openings jobs? States with the most job openings for Waymo Openings jobs include:
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Waymo Openings jobs near you
Infographic showing various Waymo Openings job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 1% Temporary, and 10% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,484 per year, or $17.5 per hour.
Senior Machine Learning Engineer, Simulation Evaluation

Senior Machine Learning Engineer, Simulation Evaluation

Waymo

San Diego, CA

$110K - $152K/yr

Other

Posted 18 days ago

Job description

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.

Apply