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# Senior Staff Safety Analytics and Metrics Engineer - Robot Safety

- **Company:** 1X, LLC
- **Location:** San Carlos, CA, United States
- **Experience:** Expert
- **Salary:** $170,000.0 - $259,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Computer Programming, Information Engineering, Data Infrastructure, Data Systems, Distributed Systems, Python (Programming Language), Machine Learning, SQL Databases, System Programming, Apache Spark, Safety Critical Systems, Information Technology, Data Analytics, Operational Systems, Data Pipelines
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=01579356c727f1e8

## About the Role

Do you have experience in Performance dashboard reports?, Do you have a Bachelor's degree in statistics?, * 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

## Description

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


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