About Waymo
Revolutionizing transportation with autonomous driving
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...
Software Engineering • Senior
Skills & Technologies
Overview
Waymo is hiring a Senior Software Engineer to develop importance sampling techniques for autonomous driving evaluation pipelines. You'll work with machine learning and statistical analysis in locations like Mountain View, San Francisco, and New York. This position requires expertise in Python and machine learning.
Job Description
Who you are
You have 5+ years of experience in software engineering, particularly in developing systems that leverage machine learning and statistical methods. Your background includes a strong understanding of importance sampling techniques and their application in real-world scenarios, especially in the context of autonomous systems. You are proficient in Python and have experience working with large datasets, enabling you to extract meaningful insights from complex data. Your collaborative spirit allows you to work effectively with engineers, data scientists, and statisticians to optimize evaluation pipelines. You are detail-oriented and thrive in environments that require innovative problem-solving under resource constraints.
Desirable
Experience with autonomous driving technologies or related fields is a plus. Familiarity with data logging and simulation systems will enhance your ability to find signals in logs that contribute to the discovery of rare events. A background in statistical analysis and optimization techniques will further strengthen your contributions to the team.
What you'll do
In this role, you will develop and implement importance sampling techniques that enhance the efficiency of Waymo's evaluation pipelines. Your work will involve analyzing logs and simulations to identify signals that can lead to the discovery of rare and significant events in autonomous driving. You will build systems that systematically optimize multiple objectives while adhering to resource constraints, ensuring that the evaluation process is both effective and efficient. Collaboration is key; you will work closely with a diverse team of engineers, data scientists, and statisticians to refine and improve the evaluation methodologies. Your contributions will directly impact the safety and reliability of the Waymo Driver, making a difference in the autonomous driving landscape.
What we offer
Waymo provides a competitive salary range of $204,000—$259,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will be part of a mission-driven company focused on improving mobility and safety through cutting-edge technology. Our benefits program is generous, supporting your well-being and professional growth. Join us in our commitment to making the world's most trusted driver a reality.
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