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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 are the most popular jobs at Waymo?
What are the most popular categories at Waymo?
Infographic showing various Machine Learning Scientist job openings at Waymo in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Remote job distribution.
Senior Machine Learning Engineer, Robotics

Senior Machine Learning Engineer, Robotics

Waymo

San Diego, CA

$110K - $152K/yr

Other

Posted 5 days ago

Job description

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. 

The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning. 

This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team.

You will:

  • Transition low-level Perception tasks from algorithms to machine learning
  • Work on system integration and optimization
  • Evaluate task-level and system-level quality, developing new metrics as needed

You have:

  • Bachelors in Computer Science, Software Engineering, Robotics, or similar technical field of study 
  • 5+ years of industry experience
  • Strong C/C++ skills
  • Proficiency with Python
  • Experience with Computer Vision and Machine Learning
  • Experience with System Integration

We prefer:

  • Masters or PhD Degree in Computer Science, Robotics, Machine Learning, or a similar discipline
  • Experience with sensor data processing (Lidar, camera, or radar)
  • Experience in the AV industry

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