Field Reliability Engineer

1X • San Carlos, CA

3d • $94,000 - $128,000 • Onsite

About The Position

1X is building humanoid robots designed to perform household tasks and give people their time back. The company is focused on solving robotics, AI, and manufacturing challenges simultaneously and at scale, creating a product that is safe enough to live with families. The flagship product, NEO, is a home robot designed to move, learn, and operate in the real world alongside people, and the company is focused on shipping it. 1X is looking for individuals inspired by the mission to change how humans spend their time by safely creating abundance for all. The Quality & Reliability team is responsible for ensuring 1X products are safe, reliable, compliant, and ready for customers by integrating quality systems, reliability engineering, and regulatory compliance throughout the product development lifecycle. This role will own field reliability for NEO, from identifying emerging issues in customer and service data to leading cross-functional root cause investigations and driving corrective and preventative actions to closure. The Field Reliability Engineer will be the accountability layer between field failures and permanent fixes.

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
• Python proficiency for data analysis and workflow automation
• Bachelor's degree in Electrical Engineering, Mechanical Engineering, or closely related technical field
• Quantitative analyst: fluent in Weibull analysis, failure rate modeling, and statistical significance
• 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
• Clear communicator: translates complex failure data into concise reports and recommendations that land with both engineers and executives

Nice To Haves

• 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

Responsibilities

• Own field reliability for NEO, from surfacing emerging issues in customer and service data to leading cross-functional root cause investigations and driving verified corrective and preventative actions to closure.
• Reduce recurring field failure rates measurably through systematic CAPA closure, tracked against established baselines.
• Report warranty cost trajectory monthly with data-driven prioritization of highest-impact corrective investments.
• Shorten issue closure cycle time by leading tightly scoped investigations across Hardware, Software, and AI teams.
• Deploy reliability dashboards and Nevada Charts that give engineering and leadership real-time visibility into field failure rates, trends, and paretos.
• Build custom Python analysis tooling that surfaces anomalies and trends from sensor telemetry faster than manual methods.

Benefits

• Comprehensive medical, dental, and vision coverage
• Generous paid time off, company holidays, an parental leave
• 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%)
• Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options
• Commuter benefits (transit and parking)
• Short-term and long-term disability, and life insurance
• Employee Assistance Program (EAP) for mental health, financial, and personal support
• Onsite snacks and catered lunches

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level