Jobs / United States / Waymo LLC
Product Quality Engineer, Automotive Sensors
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 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. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. You will: • Champion Product Quality & APQP/PPAP: Serve as the quality champion across the autonomous driving sensor development team (Cameras, Radars, Lidars), driving design methodologies and executing end-to-end quality plans (APQP and PPAP) from concept through mass production to ensure robust, reliable sensor modules that meet specifications. • Specification Compliance & Design Lifecycle (DFx/FMEA): Verify and enforce full compliance with the Engineering Requirement Specification (ERS) and sensor specification matrices; oversee the product design lifecycle by facilitating DFMEA, PFMEA, design reviews, DFM/DFA, and DFx for optical, RF/mmWave, and electro-mechanical sensor assemblies. • Sensor Characterization, Calibration & EOL Test Validation: Partner with optical, RF, hardware, firmware, and test engineering teams to define and validate sensor calibration, active alignment, RF/antenna performance, and End-of-Line (EOL) functional test coverage, limits, and Measurement System Analysis (MSA/GR&R). • Failure Analysis, Debug & 8D Problem Solving: Perform hands-on initial failure analysis (FA) and hardware/system debug for Camera and Radar modules, supporting sensor module bring-up and vehicle integration while driving cross-functional 8D root-cause investigations and corrective/preventive actions (CAPA) to closure. • Cross-Functional Partnership & Standards Compliance: Collaborate with engineering, manufacturing, supply chain, and Tier-1/contract manufacturing partners to execute quality plans, conduct process audits and product inspections, and ensure strict compliance with automotive quality, reliability, and safety standards (IATF 16949, ISO 26262, AEC-Q100/Q200, ASPICE). • Yield Management & Data Analytics: Establish and monitor manufacturing yields, defect rates (DPPM), Cp/Cpk, and reliability metrics; apply statistical tools (SPC, DOE) to analyze data from early development, reliability qualification, production, and field operations to drive continuous improvement and incorporate lessons learned into the Sensors PDP. You have: • Bachelor's degree in Electrical, Optical, Mechanical, Computer Engineering, or a related field. • 10+ years of automotive industry experience in design/hardware engineering for automotive product development, focusing on ADAS/autonomous sensors. • Proficiency in core quality tools and methodologies: APQP, PPAP, FMEA, MSA (Measurement System Analysis), SPC (Statistical Process Control), DOE and 8D problem-solving. • Working knowledge of automotive quality and safety standards (IATF 16949, ISO 26262). • Experience with data analysis, statistical tools, and quality control systems • Excellent cross-functional communica