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Senior Software Engineer, Planner Evaluation

Mountain View, California, United States Full-Time Software Engineering 3130

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Senior Software Engineer, Planner Evaluation

  • 3130
  • On Site
  • Mountain View, California, United States
  • Software Engineering
  • Full-Time
  • Mid Career

Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

The Planner Evaluation team works on one of the key challenges in autonomous driving: improving the quality of the software that drives the car. We are looking for quantitative-minded software engineers to help us understand and improve the performance of our ML and robotics systems. If you are excited about applying a large volume of extremely rich data to improve core technology at the very heart of autonomous driving, this is the place for you!

In this hybrid role, you will report to the Senior Manager of Planner Evaluation.

You will:

  • Develop signals to measure the performance of large-scale machine learning models that power our self-driving car's behavior, using a range of techniques including statistics, math, physics, and machine learning.
  • Use simulation creatively to measure driving performance of novel ML algorithms.
  • Work closely with statisticians, machine learning engineers, and roboticists to develop novel solutions to open problems.
  • Build data pipelines for signal discovery, data labeling, feature extraction and metric computation based on large-scale simulations.

You have:

  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
  • 5 years of industry experience
  • Python, especially for modeling and/or statistical computing
  • Experience with tools for large-scale parallel compute and data manipulation (Apache Beam, SQL)
  • Experience evaluating the quality of machine learning prediction at scale.

We prefer:

  • PhD in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
  • 7+ years of industry experience building large-scale ML systems
  • Comfort with writing production code in Tensorflow / JAX
  • Experience with large-scale parallel compute

#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
$192,000—$243,000 USD

We appreciate your interest in Waymo. Waymo is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to ensuring equal opportunity for qualified individuals with disabilities. If you are an individual with a disability and require an accommodation to participate in the application or interview process, please let the recruiting team know or email waymo-candidatesupport@google.com. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

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. 

Supporting families

When it comes to growing your family or caring for your loved ones, you have our full support. Enhanced leave options include 26 weeks of paid leave for birthing parents and 18 weeks of paid leave for non-birthing parents.

Community and personal development

At Waymo, you'll find a range of opportunities to grow, connect, and give back. We offer education reimbursement, personal and professional development, mentorship, and other ways to connect through Employee Resource Groups (ERGs), other internal groups, and even time off to volunteer.

Cool perks

Access to Google offices, cafes, wellness centers, massages, and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.

Ready to Apply?

 

Demographic Information (completion voluntary)

Waymo would greatly appreciate it if you could provide us with your identity information. Your individual identity data will not be accessible to recruiters, hiring managers or others who interview you. Instead, it is used in aggregate to track and report Equity, Inclusion, and Diversity (EID) progress. Answering these questions is entirely voluntary, and a decision not to answer will not be held against you. 

If you decide to provide demographic information, it will be recorded and maintained in a confidential file. Whatever your decision about providing this data, it will not be considered in the hiring process or as a basis for employment decisions. If you are offered and accept employment with Waymo, the information collected during the application and recruitment process will become part of your confidential employment record.

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