Hardware Data and Failure Analysis Engineer
Mountain View, CA, USA
Sponsorship not specified$132k-$190kDetected 8 hours ago
PythonSQLMachine LearningData AnalysisMechanical DesignElectrical EngineeringHardware DesignResearchCommunication
About the role
- About the job As a Reliability Engineer, you will play a key role in creating new consumer electronic products that meet a high bar for reliability and performance.
- In this role, you will be the bridge between our labs and the field using both direct forensic analysis mechanical engineering/electrical engineering (ME/EE/Materials) and data analytics to uncover the story behind issues.
Responsibilities
- Collaborate with cross-functional teams to develop mitigation strategies, and identify pathways to validate these strategies.
- Recommend and drive corrective action to improve future products.
- Develop software, AI skills, and processes to automate and accelerate future workstreams.
Requirements
- Bachelor's degree in Hardware Engineering or equivalent practical experience.
- 4 years of experience analyzing hardware performance, manufacturing, or lab test data.
- Experience investigating technical anomalies or field failures, finding root causes, and documenting corrective actions.
- Experience designing, debugging, or performing failure analysis on hardware.
- Experience in technical communication, including simplifying data into concise messages.
Nice to have
- Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
- ASQ certification (CRE, CQE, etc.)
- Experience with AI: utilizing agent harnesses, version control of skills, etc.
- Experience working at multiple stages in the product life cycle.
- Knowledge of Python, SQL, JMP, Weibull++ or similar tools for data analysis and visualization.
- Track record of working across disciplines such as bridging the gap between direct lab environments and data analytics pipelines.
- As a Reliability Engineer, you will play a key role in creating new consumer electronic products that meet a high bar for reliability and performance.
- You won't just find the root cause
Skills
- Your strong interpersonal and communication skills will be key to ensuring adoption of your technical recommendations.
Compensation
- US: $132000 - $190000 (USD) + 15% bonus target + equity + benefits
This listing is sourced directly from Google's careers page and normalized into a canonical job model.