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Field Reliability Engineer

1X
Posted a month ago, valid for 15 days
Location

San Carlos, CA 94070, US

Salary

$94,000 - $128,000 per year

Contract type

Full Time

Paid Time Off
Life Insurance
Disability Insurance
Employee Assistance
Flexible Spending Account

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Sonic Summary

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  • 1X is seeking a candidate for the Quality & Reliability team to enhance the reliability of their flagship home robot, NEO, focusing on field reliability and corrective actions.
  • The position requires 1-5 years of experience in field reliability, service engineering, or quality engineering within a hardware product company.
  • Candidates must possess hands-on statistical failure analysis experience, proficiency in Python for data analysis, and a Bachelor's degree in a related technical field.
  • The salary range for this role is between $94,000 and $128,000, along with equity and comprehensive benefits.
  • Ideal candidates are proactive builders who excel at driving cross-functional collaboration and communicating complex data effectively.

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

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

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

  • Python 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

What does a successful 1X Team Member look like

Team members at 1X who thrive here are builders. They move fast, own their work completely, and treat time like it’s the one thing you can’t get back - because it is. They say what they mean, finish what they start, and hold themselves to a standard before anyone has to ask. We push each other to be better, and we do it with honesty and respect.

Compensation Range

$94,000 - $128,000 + Equity

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

Equal Opportunity Employer

1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.




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