What are the responsibilities and job description for the Machine Learning TLM, Sensor Simulation position at Waymo?
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 : $281,000 - $356,000
