Senior Staff Safety Analytics and Metrics Engineer - Robot Safety
데이터 분석가정규직시니어 · 10년 이상
1X에서 휴머노이드 로봇의 안전성을 책임질 Senior Staff Safety Analytics Engineer를 채용합니다. 10년 이상의 경력과 데이터 인프라 및 안전 분석 역량이 필수입니다. 로봇의 안전 지표를 설계하고 데이터 파이프라인을 구축하여 실제 환경에서의 안전 성능을 극대화하는 핵심 역할을 수행하게 됩니다.
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.
The Autonomy & Safety Engineering team is responsible for ensuring 1X robots operate safely, reliably, and predictably in real-world environments. We build the systems, frameworks, and operational processes that measure, validate, and continuously improve robot safety across autonomy, perception, controls, and deployment operations.
Safety analytics and metrics are foundational to how we scale embodied AI systems responsibly and confidently into real homes and dynamic environments.
Lead the development of safety analytics infrastructure, operational metrics, and validation frameworks that measure and improve the real-world safety performance of 1X humanoid robots. This role is critical to enabling data-driven safety decisions across autonomy development, robot deployment, and operational incident analysis as 1X scales globally.
Design and scale safety analytics systems that provide actionable visibility into robot safety performance across development, testing, and production environments
Establish measurable safety KPIs, operational risk metrics, and validation frameworks for autonomy and robot behavior evaluation
Build scalable tooling and data pipelines to analyze incidents, near misses, behavioral anomalies, and operational safety trends
Partner cross-functionally with Autonomy, Controls, Data Infrastructure, Product, and Safety teams to improve safety signal quality and operational decision-making
Improve robot safety readiness through continuous monitoring, reporting, experimentation, and safety performance analysis at fleet scale
Deep expertise in safety analytics, data systems, autonomy validation, or large-scale operational metrics infrastructure
Strong analytical and systems-thinking mindset with the ability to translate complex technical behaviors into measurable safety insights
Experience building scalable data pipelines, experimentation frameworks, or operational analytics systems
Strong programming and technical problem-solving skills across distributed systems or robotics environments
Excellent cross-functional collaboration and communication skills across engineering, operations, and leadership teams
10+ years of experience in safety analytics, robotics systems, autonomous systems, data engineering, or related technical domains
Strong experience working with large-scale data infrastructure, analytics platforms, or operational telemetry systems
Proficiency in Python, SQL, Spark, or similar analytics and systems programming tools
Experience designing metrics, dashboards, experimentation systems, or operational performance frameworks
Bachelor’s degree in Computer Science, Robotics, Statistics, Engineering, Applied Mathematics, or related technical field
Experience working with autonomous systems, robotics, AVs, industrial automation, or safety-critical systems
Familiarity with safety standards such as ISO 13849, IEC 61508, ISO 26262, or operational risk frameworks
Experience with telemetry systems, simulation environments, or fleet-scale robotics operations
Background in machine learning, anomaly detection, or statistical modeling for operational systems
Advanced degree (MS or PhD) in Robotics, AI, Data Science, Statistics, or related field
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.
$170,000 - $259,000 + Equity
Comprehensive medical, dental, and vision coverage
Generous paid time off, company holidays, and 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
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.