Jobs / United States / Waymo LLC
Staff Software Engineer, DUE Experience
Waymo LLC · 🇺🇸 Mountain View, CA, United States
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 roles182 certified filings for “Software Engineer” (Software Developers) in CA: $200k–$240k, median $205k. Most were filed at wage level II (66%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. 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).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Waymo LLC
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 Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver. You will: • Lead the architectural design and hands-on development of advanced Agentic AI systems, focusing on multi-agent orchestration, tool execution, and complex reasoning loops for event triage. • Engineer scalable agentic workflows using modern LLM orchestration frameworks to fully automate and augment triage capabilities for Engineering and SWQOps. • Design and deploy stateful agentic infrastructure, including long-term memory management (RAG, vector databases), semantic routing, and custom internal tool integrations. • Collaborate with cross-functional partner teams to embed autonomous agents directly into the Waymo Driver evaluation lifecycle. • Mentor engineers within DUE Experience on agentic development patterns, and prompt engineering • Tackle broad, ambiguous automation problems by breaking them down into actionable multi-agent projects and leading the technical execution of the roadmap. You have: • Significant experience (typically 8+ years) in software engineering, with a focus on designing and building large-scale, complex distributed systems. • Deep expertise in applied LLMs and Agentic AI development, with a proven track record of building multi-agent systems, reasoning engines, and autonomous workflows. • Strong proficiency with agent orchestration frameworks and advanced prompt engineering. • Proven ability to execute technical strategy, influence partner teams, and drive end-to-end development of AI-native applications in ambiguous domains. • Excellent communication and collaboration skills, with the ability to align cross-functional stakeholders on agentic concepts and system limitations. • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. We prefer: • Master's or PhD in Computer Science or a related field, with a specialization in AI/ML or a related area. • Experience developing custom tools/plugins for agents, semantic routers, and implementing complex multi-agent collaborative patterns. • Familiarity with autonomous vehicle simulation, testing, or evaluation domains. • Proficiency in C++ and Python, with experience building production-grade microservices and pipelines. • Experience working with large-scale data processing, knowledge graphs, and distributed systems. • Familiarity with Google's or Waymo's internal AI/ML platforms and infrastructure. 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 facto