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Machine Learning TLM, Sensor Simulation

Mountain View, California, United States Full-Time Software Engineering 3387

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Machine Learning TLM, Sensor Simulation

  • 3387
  • On Site
  • Mountain View, California, United States
  • Software Engineering
  • Full-Time
  • Advanced 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 Sensor Sim Platform team develops and deploys sensor simulation technologies to solve some of Waymo's hardest problems in safety validation, onboard development and ML model training. We work closely with research and partner teams on bleeding edge sensor simulation solutions, including Gaussian Splatting, GenAI Diffusion, Unreal Engine 5 and traditional ray tracing. In addition to specific rendering solutions, the team is responsible for the distributed system and API hosting sensor simulation solutions.

This role would report to the Manager of Machine Learning

What you'll do in this role:

  • You will lead a team of about 10 SWEs and 1 Tech Artist to develop production sensor simulation solutions
  • The role is highly cross-functional, requiring tight collaboration with multiple research and onboard teams in a bleeding edge area.
  • You will be responsible for developing a technical roadmap that leverages and combines different sensor simulation approaches to accelerate Waymo's ability to scale safely. 
  • You will be responsible for optimizing scale, reliability, eng excellence and the ability to plug in new approaches in a highly available distributed simulation platform 

Minimum requirements:

  • 3+ years experience managing a production SWE team
  • Proven record of excellent technical collaboration and decision making in a cross-functional environment
  • Experience with one or more of ML for sensor data generation, AV simulation, graphics, video game development, distributed systems

Preferred qualifications:

  • Experience working with Google infrastructure
  • Experience with Gaussian Splatting, Gen AI, Diffusion
  • Experience developing high availability distributed systems
  • Experience working with Unreal Engine 5

This is a hybrid role.

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
$281,000—$356,000 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?

 

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.

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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