Waymo Verified

Autonomous Vehicles, Artificial Intelligence, Robotics, Automotive

Product Quality Engineer, Automotive Sensors

RemoteRemoteFull Time$210,000–$259,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

Cameras
Radars
Lidars
Optical
RF/mmWave
Electro-mechanical
Firmware
Test Engineering
Hardware
Vehicle Integration

Nice to have

Six Sigma Black Belt
Consumer Electronics
International Contract Manufacturers

Role summary

Waymo is seeking a Product Quality Engineer for its Hardware Engineering team, focusing on autonomous driving sensors (Cameras, Radars, Lidars). This role champions product quality, driving APQP/PPAP processes from concept to production. Responsibilities include ensuring specification compliance, facilitating DFMEA/PFMEA, validating sensor calibration and EOL testing, performing failure analysis, and leading 8D problem-solving. The engineer will collaborate with cross-functional teams and partners to ensure compliance with automotive standards (IATF 16949, ISO 26262, AEC-Q100/Q200, ASPICE). Key tasks involve yield management, data analytics using SPC/DOE, and continuous improvement initiatives. A Bachelor's degree in a related engineering field and 10+ years of automotive industry experience, with proficiency in core quality tools, are required.

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 communication skills with the ability to translate complex engineering issues to leadership and external suppliers.

We prefer:

Master's degree in Electrical, Mechanical Engineering, or a related field

Six Sigma Black Belt Certification.

Demonstrated experience in one or more of the following areas: New Product Introduction, Design Engineering, or Manufacturing Operations in consumer electronics

Strong understanding of electronic development processes. & Solid grasp of statistical analysis and production control processes

Proficient in data analysis and interpretation

Experience collaborating with international contract manufacturers in mass production, including travel to manufacturing sites

Knowledge of sensor calibration processes and end-of-line (EOL) testing methodologies.

Travel requirements:

20% travel as needed

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$210,000—$259,000 USD

Sample Waymo interview questions

1
Design a data ingestion system
system designmedium
2
Design a simulation-based regression detection system for code changes
system designhard
3
Longest Substring with Two Distinct Characters Find the longest substring with at most two distinct characters. Input: s = "ccaabbb" Output: 5 Explanation: The substring "aabbb" contains exactly two distinct characters and has a maximum length of 5.
codingmedium
4
Alien Dictionary Order Derive the alien dictionary order from a sorted list of alien words. Input: words = ["z","x","z"] Output: "" (Empty String) Explanation: The letter 'z' cannot come before 'x' and then suddenly after 'x', creating a cycle and making the dictionary invalid.
codingmedium
5
Palindrome After Deleting One Character Determine if a string can be a palindrome after deleting at most one character. Input: s = "abc" Output: FALSE Explanation: Deleting any single character leaves either "ab", "bc", or "ac", none of which result in a valid palindrome.
codingmedium

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