Waymo
Waymo

60 Waymo Sensor Fusion Engineer Jobs Hiring Near You

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... 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 ... Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically ...

Senior Machine Learning Engineer, Robotics

San Diego, CA · On-site

$110K - $152K/yr

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software ... The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized ...

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... radar sensor data * Experience with testing safety-critical systems. * Experience with C+

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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.

Software Engineer, Perception Scaling Evaluation

San Diego, CA • On-site

Waymo
Internet and IT • 1 - 5K employees

Full-time

Re-posted yesterday


Key responsibilities

  • Build and understand the perception stack of the Waymo Driver and its capabilities in various driving conditions

  • Architect high-scale, mission-critical automation and evaluation frameworks to ensure safety, performance, and reliability

  • Collaborate with engineering teams to influence perception technology development and support sign-off processes for sensing system development and software releases


Job description

The Perception team at Waymo builds technology that powers the Waymo Driver. 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 conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling software engineers like you to develop multi-modal models and techniques at scale.

Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities.

The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend.

In this hybrid role, you will report to a Technical Lead Manager. 

You will:

  • Dive deep into the Waymo Driver's perception stack and build a deep understanding of its capabilities in various driving conditions
  • Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors
  • Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology
  • Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver
  • Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults
  • Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews

You have:

  • BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 
  • 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products
  • Experience developing and conducting eval for large ML software systems
  • Strong experience programming in C++ with robust and efficient code

We prefer:

  • MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience
  • Experience with autonomous vehicles (L4) or ADAS systems (L2/L3)
  • Strong software architecture skills