
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...
Skills & Technologies
Overview
Waymo is hiring a Software Engineer for Statistical Evaluation and Sampling to develop importance sampling techniques for autonomous driving evaluation pipelines. You'll work with Python and machine learning to optimize resource usage. This position requires experience in statistical analysis.
Job Description
Who you are
You have a strong background in software engineering with a focus on statistical evaluation and sampling techniques. Your experience includes developing algorithms that enhance the efficiency of evaluation pipelines, particularly in the context of autonomous driving. You are proficient in Python and have a solid understanding of machine learning principles, which you apply to real-world problems. You thrive in collaborative environments, working alongside engineers, data scientists, and statisticians to drive innovation in autonomous vehicle technology.
You possess a keen analytical mindset, enabling you to find signals in complex datasets and logs. Your expertise in statistical analysis allows you to identify rare and important events efficiently, contributing to the safety and reliability of autonomous systems. You are comfortable working under resource constraints and can systematically optimize multiple objectives to achieve project goals. Your communication skills enable you to articulate complex concepts clearly to both technical and non-technical stakeholders.
What you'll do
In this role, you will develop and implement importance sampling techniques that enhance the statistical efficiency of Waymo's evaluation pipelines. You will analyze logs and simulations to discover rare events that are critical for the safe deployment of the Waymo Driver. Collaborating with a diverse team, you will build systems that optimize resource usage while delivering high-quality signals for evaluation. Your work will directly impact the safety and performance of autonomous driving technology, ensuring that each version of the Waymo Driver meets rigorous safety standards before hitting the road.
You will engage in continuous improvement of the evaluation processes, leveraging machine learning to refine techniques and methodologies. Your contributions will help shape the future of mobility, making a significant difference in how autonomous vehicles operate and interact with the world. You will also have opportunities to mentor junior engineers and contribute to the overall growth of the team.
What we offer
Waymo provides a competitive salary range of $170,000—$216,000 USD, along with eligibility for an annual bonus program and equity incentive plan. We offer a comprehensive benefits program designed to support your well-being and professional growth. Join us in our mission to create the world's most trusted driver and make a meaningful impact on the future of transportation.
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