1 month ago

Senior Staff Safety Analytics and Metrics Engineer - Robot Safety

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Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Build safety analytics infrastructure and operational metrics that quantify and improve real-world safety performance of humanoid robots. You’ll define safety KPIs and validation frameworks, develop scalable data pipelines to analyze incidents and near-misses, and partner across autonomy, controls, data infrastructure, product, and safety teams to strengthen safety signal quality and fleet-level readiness.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Lead development of safety analytics infrastructure, operational metrics, and validation frameworks for real-world robot safety performance.
•Design and scale safety analytics systems to provide actionable visibility across development, testing, and production.
•Establish 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 safety trends.
•Collaborate cross-functionally with autonomy, controls, data infrastructure, product, and safety teams to improve safety signal quality and decision-making.

Pay and Benefits

Salary: USD 170,000 - 259,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid LeaveParental Leave401kCommuter BenefitsLife InsuranceDisability

Key Requirements

•10+ years of experience in safety analytics, robotics systems, autonomous systems, data engineering, or related technical domains.
•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:10+ yearsRoboticsAutonomous systemsData engineeringTelemetrySafety-critical systems

Education:Bachelor's

Skills:Analytical thinkingSystems thinkingTechnical problem-solvingCross-functional collaborationCommunication

Certifications:ISO 13849IEC 61508ISO 26262

Tech Stack:PythonSQLSpark

Company Brief

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