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Home›Jobs›Waymo›Senior Staff Software Engineer, Simulation
Waymo

About Waymo

Revolutionizing transportation with autonomous driving

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mountain View, CA💰 $11.1b⭐ 3.7
B2CTransportAutomation

Key Highlights

  • Operates in cities like Phoenix, San Francisco, and LA
  • Completed over 10 million fully driverless rides
  • Raised $11.1 billion in funding
  • Aiming for one million trips per week by 2026

Waymo, a subsidiary of Alphabet Inc., is at the forefront of autonomous driving technology, operating robotaxis in cities like Phoenix, San Francisco, and Los Angeles. With over 10 million fully driverless rides and more than 100 million miles driven, Waymo is transforming transportation. The compan...

🎁 Benefits

Waymo offers comprehensive medical, dental, and vision insurance for employees and their dependents, along with commuter benefits and onsite wellness ...

🌟 Culture

Waymo fosters a culture of innovation and safety, focusing on the real-world application of autonomous technology. The company values diversity and in...

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Waymo

Senior Staff Software Engineer, Simulation

Waymo • San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA

Posted 3w ago🏛️ On-SiteSeniorLeadSoftware engineering📍 San francisco📍 Mountain view📍 New york
Apply Now →

Skills & Technologies

JavaPythonC++DockerKubernetes

Overview

Waymo is seeking a Senior Staff Software Engineer to lead technical projects in simulation for autonomous driving technology. You'll work with Java, Python, and C++ to enhance automated issue detection and drive technical strategy. This role requires extensive experience in simulation and cross-functional collaboration.

Job Description

Who you are

You have 5+ years of experience in software engineering, particularly in simulation technologies, and have successfully led complex technical projects. Your expertise in programming languages such as Java, Python, and C++ allows you to tackle challenging problems effectively. You thrive in collaborative environments, working closely with cross-functional teams to drive innovative solutions. Your strong analytical skills enable you to define and implement technical strategies that enhance system performance and reliability. You are passionate about autonomous driving technology and understand the importance of safety and efficiency in this field. You are also comfortable with tools like Docker and Kubernetes, which are essential for deploying and managing applications in a cloud environment.

Desirable

Experience with machine learning frameworks and data analysis tools would be a plus, as would familiarity with automated testing and continuous integration practices. A background in the automotive industry or experience with autonomous systems would further enhance your candidacy.

What you'll do

In this role, you will define and drive the technical strategy for the full lifecycle of issue response within the Simulator, focusing on automated detection and root cause analysis. You will lead cross-functional initiatives to enhance automated issue detection by integrating new data sources and signals. Your responsibilities will include building and scaling new simulation capabilities relevant to Waymo's deployments, such as freeway driving and challenging weather conditions. You will also work on developing complex long-tail evaluation needs to ensure the robustness of the Waymo Driver. Collaborating with various teams, you will ensure that the simulation environment meets the highest standards of accuracy and reliability, contributing to the overall mission of improving mobility and safety.

What we offer

Waymo offers a competitive salary range of $281,000—$356,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will be part of a pioneering team in the autonomous driving space, working on cutting-edge technology that has the potential to save lives and transform transportation. Our company culture emphasizes collaboration, innovation, and a commitment to safety, providing you with the opportunity to make a significant impact in the field of autonomous driving. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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