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Waymo Openings Jobs (NOW HIRING)

Waymo

Senior Business Intelligence Analyst

Mountain View, CA · On-site

$168K - $207K/yr

... 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 Software Engineer, Planner

San Francisco, CA · On-site

$251K - $310K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Frame the open-ended real-world problems into well-defined engineering problems; develop tools ...

Waymo

Staff Software Engineer, Planner

Mountain View, CA · On-site

$251K - $310K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Frame the open-ended real-world problems into well-defined engineering problems; develop tools ...

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How much do waymo openings jobs pay per hour?

As of Aug 16, 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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Waymo Openings jobs near you
Infographic showing various Waymo Openings job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 68% Full Time, 23% Part Time, and 8% 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.

Staff Research Scientist, Perception

Waymo

Mountain View, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 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 mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
This role follows a hybrid work schedule and reports to a Principal Research Scientist.
You will:
  • Research & Develop state-of-the-art Multimodal LLMs and World models to perform 3D Perception using sensor information from Camera, LiDAR and Radar.
  • Integrate emerging research from the broader AI community into Waymo's Encoders and Sensor understanding models
  • Partner with engineering and research teams across Waymo to share recipes, techniques, and best practices to accelerate our collective know-how.
  • Develop and maintain scalable data pipelines for Training & Eval to process data from multiple sources.
  • Design and implement evaluation frameworks for perception models.
  • Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.
  • Design and implement Perception Modeling solutions to understand LiDAR/Camera/Radar information from autonomous vehicle sensors.
  • Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical reports and/or publications.

You have:
  • PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field, with 4+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models.
  • Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions.
  • Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches.
  • A willingness to work with complexity of globally distributed inference infrastructure.

We prefer:
  • PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning.
  • Extensive experience designing and deploying Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences.
  • A consistent history of original contributions to the AI community, evidenced by first-author publications at top-tier venues (e.g., NeurIPS, ICLR, ICRA) or maintaining significant open-source ML projects
  • Substantial involvement in and contributions to high impact industry AI projects.
  • Experience in generative models for domains such as world models, images, videos, 3D, using techniques such as diffusion or autoregressive models.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

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
$251,000-$310,000 USD

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