Jobs / United States / Waymo LLC

Staff Tech Lead, ML Data Infrastructure and Inference Platform

Waymo LLC · 🇺🇸 Mountain View, CA, USA

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 290 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 87 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Waymo LLC paid sponsored hires in similar roles1 certified filing for “TLM, Data Mining and Sampling for ML and Evaluation” (Computer and Information Systems Managers) in NY: $350k–$350k, median $350k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. The pay stated here ($251,000 — $310,000 USD) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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Sponsor Radar — Waymo LLC

290 H-1B filings certified since Oct 2025

The US Department of Labor certified 290 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 87 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Waymo LLC →

About the role

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 ML Data Infrastructure and Inference Platform team owns the Data as well as the Data infrastructure for all ML Flywheels at Waymo. We do this via a planet scale centralized feature store for all ML training and evaluation, the feature extraction framework as well the inference platform for generating the data via bulk and online inferences. The objective of the team is to deliver data necessary for all our onboard as well Foundation Models to make the ML Flywheel successful and in turn lead to the successful scaling of Waymo. The team is highly collaborative and closely works with all modeling teams within Waymo. You will: • As a Tech Lead you’ll build, lead and contribute to Waymo’s ML data infrastructure platform to enable planet scale ML Flywheel for all ML models at Waymo via data store and data infra ecosystem. • Work closely with teams across Waymo both onboard & offboard Foundation models, to understand the data infra needs, data distributions, data quality, data value, freshness and onboard these flywheels onto our planet scale data store and ensure the seamless adoption and guide the development of our infra components. • You will closely lead, mentor and guide a team of engineers to build and onboard teams to the infrastructure efficiently. • The team has a large surface area and scope in terms of impact, cross team collaboration and direct interaction with ML models at Waymo. You have: • 6+ years of professional experience in the field of software engineering • Experience tech leading projects with high cross team collaboration • Experience tech leading a team of engineers on complex projects • Experience in programming C++ • Experience with building highly scalable distributed system • Experience with ML Data and ML Flywheels We prefer: • Passionate about Data and building ML infra & tools • Experience Tech leading projects, cross functional projects • Experience with handling large datasets in the order of exabytes • Experience building machine learning infrastructure and model hosting / inference infrastructure • Experience with production services with high QPS. #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 $251,000 — $310,000 USD

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Source: Greenhouse (employer board) First seen: 2026-10-15 Last confirmed: 2026-10-15 How our data works → Report this job

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