
Revolutionizing transportation with autonomous driving
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...
Waymo offers comprehensive medical, dental, and vision insurance for employees and their dependents, along with commuter benefits and onsite wellness ...
Waymo fosters a culture of innovation and safety, focusing on the real-world application of autonomous technology. The company values diversity and in...

Waymo • Mountain View, CA, USA
Waymo is hiring a Senior Software Engineer for their Simulator Platform team to develop advanced simulation solutions for autonomous driving technology. You'll work with Python, C++, and machine learning algorithms to enhance the performance of the Waymo Driver. This role requires 5+ years of experience in software engineering.
You have 5+ years of software engineering experience, particularly in developing complex systems that require a deep understanding of both software and hardware interactions. Your background includes working with simulation technologies and you are comfortable collaborating with diverse teams of engineers and data scientists to achieve common goals.
You possess strong programming skills in languages such as Python and C++, and you have experience with machine learning frameworks. Your familiarity with Docker and cloud technologies allows you to build scalable and efficient systems that can handle large datasets and complex simulations.
You are a problem solver who enjoys tackling challenging engineering problems, particularly in the context of autonomous systems. You understand the importance of building reliable and maintainable code, and you are committed to following best practices in software development.
You thrive in collaborative environments and are eager to share your knowledge with others. You believe in the power of teamwork and are excited about the opportunity to work alongside talented individuals who are passionate about advancing autonomous driving technology.
Experience with simulation frameworks and tools is a plus, as is familiarity with advanced machine learning techniques. If you have worked on projects involving autonomous vehicles or robotics, that experience will be highly valued.
As a Senior Software Engineer on the Simulator Platform team, you will be responsible for developing and enhancing simulation solutions that are critical for testing and training the Waymo Driver. You will collaborate with machine learning engineers to implement advanced algorithms that improve the fidelity and scalability of simulations.
You will design and build systems that model realistic environments, including agents such as vehicles and pedestrians, as well as traffic control systems and weather conditions. Your work will directly contribute to the safety and reliability of autonomous driving technology.
You will participate in code reviews and contribute to the overall architecture of the simulation platform, ensuring that it meets the high standards required for autonomous vehicle testing. You will also have the opportunity to mentor junior engineers and help them grow in their careers.
Your role will involve continuous learning and adaptation as you stay updated with the latest advancements in machine learning and simulation technologies. You will be encouraged to propose new ideas and improvements that can enhance the performance of the Waymo Driver.
Waymo offers a competitive salary range of $204,000—$259,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will also enjoy a comprehensive benefits package that supports your health and well-being.
You will be part of a mission-driven company that is dedicated to improving mobility and saving lives through autonomous driving technology. Join us in our journey to build the world's most trusted driver and make a meaningful impact in the transportation industry.
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