Staff Software Engineer, Quantitative Evaluations

Waymo · Mountain View, CA, USA

Pay

$251k–310k

Setting

Hybrid

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Why Waymo Working at Waymo Teams Early careers How we hire Open roles Visit Waymo.com Staff Software Engineer, Quantitative Evaluations MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES FULL-TIME SOFTWARE ENGINEERING 5048 Apply now Add to favorites View favorites Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Sr. Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 4-7 years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry #LI-Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate’s qualifications, experience, and alignment with job requirements and business needs. 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First Name (required) Last Name (required) Email (required) Choose departments and locations you're interested in: Finalize your job alert by selecting criteria from the dropdowns below. You can select multiple options from each dropdown by returning to the combobox and re-entering the list of options. Submit at the end to create your job alert. Departments SOFTWARE ENGINEERING Locations MOUNTAIN VIEW, CALIFORNIA, UNITED STATESSAN FRANCISCO, CALIFORNIA, UNITED STATES Notify me By submitting your email address, you agree to our Candidate Privacy Policy. The data you enter will be retained for two years (four years in California), unless you delete it before that time. You may unsubscribe from job alerts or remove your data from the system at any time. Related Job Openings Staff Software Engineer, Planner Evaluation Mountain View, California. San Francisco, California. New York City, New York Staff Tech Lead Manager, Machine Learning, Simulator Evaluation Mountain View, California Software Engineer, Statistical Evaluation and Sampling Mountain View, California. San Francisco, California Staff Software Engineer, Multiverse Mountain View, California Quick Links How We Hire Our Benefits Some of our Benefits Health and wellness Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, gym membership, and special wellness programs. Financial wellness Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, employees provident fund, and lots of other perks and employee discounts. Flexibility and time off Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site or hybrid work model and offer remote working opportunities, paid time off, bereavement, sick, and parental leave. Previous Next Learn more Ready to Apply? To ensure thorough consideration of each application, candidates may submit up to 5 job applications within a 60-day period. We encourage you to carefully review job descriptions and apply to positions that best match your skills. Applications beyond this limit will not be considered. First Name (required) Last Name (required) Email (required) Phone Number (required) Resume (required) Accepted formats: PDF, DOC, DOCX, RTF, ODT, XML, DOT, PNG, GIF, JPG, JPEG, ZIP Cover Letter Accepted formats: PDF, DOC, DOCX, RTF, ODT, XML, DOT, PNG, GIF, JPG, JPEG, ZIP Website LinkedIn Profile How did you hear about this opportunity? 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