Staff/Senior Staff Safety Analytics and Metrics Engineer - Robot Safety

1X • San Carlos, CA

3d • Onsite

About The Position

1X is building humanoid robots designed to work in homes, handling chores and tasks to give people their time back. This requires solving robotics, AI, and manufacturing simultaneously, at scale, in a form factor that is safe enough to live with families. NEO is their flagship home robot, designed to move, learn, and operate alongside people in the real world, and it is being shipped, not just demoed. The company is scaling and hiring with intention, seeking individuals who want to build something that will genuinely change how humans spend their time by 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. They build the systems, frameworks, and operational processes to measure, validate, and continuously improve robot safety across autonomy, perception, controls, and deployment operations. Safety analytics and metrics are foundational to scaling embodied AI systems responsibly and confidently into real homes and dynamic environments.

Requirements

• 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.
• Strong analytical and systems-thinking mindset with the ability to translate complex technical behaviors into measurable safety insights.
• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.

Benefits

• 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

What This Job Offers

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