The opportunity
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…
What you'll do
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.
What they're looking for
- Bachelor's degree in Electrical, Optical, Mechanical, Computer Engineering, or a related field.
- + 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).
