Field Reliability Engineer

Role Name: Field Reliability Engineer

Department: Quality

Location: San Carlos 

About 1X

We’re building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it’s not.

To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you’re inspired by this, you’ll thrive here. We’ve been at this since 2014 and we’re at the point where the hard problems are behind us and the hard work is in front of us.

NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We’re not demoing it - we’re shipping it. We’re excited to meet you, if this excites you.

If you’ve spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We’re scaling, we’re hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all. 

About the Team:

The Quality & Reliability team spans Quality, Reliability, Compliance, Failure Analysis, and Test & Validation. Together, we own ensuring 1X products are safe, reliable, compliant, and ready for customers — embedding quality systems, reliability engineering, and regulatory compliance throughout the entire product development lifecycle. Our work touches every phase of how NEO gets built and how it performs in the real world, and we hold the bar that lets the rest of the company ship with confidence.

Your Charter: 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. You are the accountability layer between what breaks in the field and what gets permanently fixed.

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 paretos

• Custom Python analysis tooling built that surfaces anomalies and trends from sensor telemetry faster than manual methods