
Tech Lead Manager, Simulation Infrastructure
Waymo
Posted about 5 hours ago
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 Simulation Infrastructure team creates reliable, scalable, and cost-effective Simulation-based products that evaluate the Waymo Driver's software stack at a massive scale. We solve complex technical challenges to build services and tools for a broad range of customers Software Engineers, Product, Data Science, System Engineering, and more. So if you want to build the next generation of Simulation products and infrastructure, we'd love to hear from you!
This role follows a hybrid work schedule and reports to the Software Engineering Manager.
You will:
- Provide technical leadership and people management for a team of software engineers building Waymo's distributed simulation engine
- Architect, scale, and operate the massive distributed system that validates the autonomous driving software stack daily
- Drive improvements in scheduler throughput, resource allocation, queuing latency, and cluster utilization
- Establish team roadmaps, define engineering best practices, and mentor team members to support their technical growth
- Partner with simulation, machine learning, and platform infrastructure teams to ensure seamless, high-throughput execution of their workloads
You have:
- BS or MS in Computer Science, Computer Engineering, or equivalent field
- 5+ years of software engineering experience, with a proven track record of both technical leadership and people management
- 5+ years of experience designing, building, and operating large-scale distributed infrastructure or batch processing systems
- Hands-on experience optimizing large-scale job scheduling, resource orchestration, or queueing systems
- Experience managing or leading large scale systems and software development engineering teams
We prefer:
- Deep experience with large-scale cluster management systems
- Strong programming capabilities in Golang and C++
- Deep understanding of advanced operating systems, scheduling, containerization, sandboxing, or distributed file systems
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.
Job details
Workplace
Office
Location
Mountain View, CA, USA; San Francisco, CA, USA
Experience
SE
Salary
251k - 310k USD
per year
Jobr Assistant extension
Get the extension →