Field Reliability Engineer
1X · San Carlos, CA · 3 wk ago
On-siteEngineering$94k–$128k/yrFull-time
About the role
The Quality & Reliability team at 1X spans Quality, Reliability, Compliance, Failure Analysis, and Test & Validation. Our charter includes owning the safety, reliability, and compliance of 1X products, ensuring they are ready for customers. We work across every phase of product development, from design to deployment.
Key Outcomes
- Recurring field failure rates measurably reduced through systematic CAPA closure, tracked against established baselines
- Warranty cost trajectory reported monthly with data-driven prioritization of highest-impact corrective investments
- Issue closure cycle time shortened by leading tightly scoped investigations across Hardware, Software, and AI teams
- Reliability dashboards and Nevada Charts deployed that give engineering and leadership real-time visibility into field failure rates, trends, and pareto analysis
- Custom Python analysis tooling built that surfaces anomalies and trends from sensor telemetry faster than manual methods
Minimum Requirements
- 1-5 years of field reliability, service engineering, or quality engineering experience in a hardware product company
- Hands-on statistical failure analysis experience: Weibull modeling, failure rate prediction, FMEA
- Pron proficiency for data analysis and workflow automation
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or closely related technical field
Preferred Skills
- Experience analyzing sensor or telemetry data from electromechanical systems (robotics, automotive, consumer electronics, or similar)
- Familiarity with LLMs and AI agents as analysis accelerators
- Background in warranty cost modeling and financial impact reporting
- Experience correlating field data with design validation and test data
Key Competencies
- Quantitative analyst: fluent in Weibull analysis, failure rate modeling, and statistical significance - builds the math before drawing conclusions
- Systems thinker: connects sensor telemetry, software logs, and physical failure modes into a coherent root cause narrative
- Cross-functional driver: creates urgency and accountability across Hardware, Software, and AI teams without direct authority
- Builder: writes custom Python analysis tools and leverages LLMs to scale analytical output - doesn't wait for someone else to build the infrastructure
- Clear communicator: translates complex failure data into concise reports and recommendations that land with both engineers and executives
Compensation Range
$94,000 - $128,000 + Equity