Home › Companies › Waymo › Tech Lead Manager, Simulation Infrastructure
Tech Lead Manager, Simulation Infrastructure
Waymo · Mountain View, CA, USA; San Francisco, CA, USA · Remote · Active · $251,000–$310,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Waymo |
| Title | Tech Lead Manager, Simulation Infrastructure |
| Normalized title | - |
| Department / team | CSI (7LV) |
| Location | Mountain View, CA, United States |
| Work model | Remote / Remote |
| Employment type | - |
| Salary | $251,000–$310,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-06-04 / 2026-06-06 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Waymo. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Mountain View. | Open |
| Department jobs | Active postings in CSI (7LV). | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Waymo |
| Source | 44b26b6c-8dfd-437f-a75f-2aba3142363b |
| ATS provider | Greenhouse |
Description
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.
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
Full job record
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| Org ID | 3fcf3bd1-54bc-4952-918e-d9d9f3354837 |
| Source ID | 44b26b6c-8dfd-437f-a75f-2aba3142363b |
| Board ID | 44b26b6c-8dfd-437f-a75f-2aba3142363b |
| Provider | greenhouse |
| Provider Job Key | 7983686 |
| Title | Tech Lead Manager, Simulation Infrastructure |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Mountain View, CA, USA; San Francisco, CA, USA |
| Department | CSI (7LV) |
| Team | — |
| Employment Type | — |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | CA |
| City | Mountain View |
| Salary Raw | Salary Range $251,000 — $310,000 USD |
| Salary Min | 251,000 |
| Salary Max | 310,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://careers.withwaymo.com/jobs?gh_jid=7983686 |
| Apply URL | https://careers.withwaymo.com/jobs?gh_jid=7983686 |
| First Seen At | 2026-06-06 07:32:55Z |
| Last Seen At | 2026-06-06 20:03:15Z |
| Last Checked At | 2026-06-06 20:03:15Z |
| Last Changed At | 2026-06-06 07:32:55Z |
| Inactive At | — |
| Source Posted At | 2026-06-04 21:33:28Z |
| Source Updated At | 2026-06-04 21:33:28Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=waymo/date=2026-06-06/2026-06-06T20-03-14-482Z-9ae82cf0fe9f70799413abab7bb6e36d8ef075138c44691cb24f99899f7f0674.json |
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