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6 часов назад

Lead Safety Analytics Engineer (Robotics)

170 000 - 259 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Safety Analytics Engineer (Robotics): Lead development of safety analytics infrastructure, operational metrics, and validation frameworks to measure and improve real-world safety performance of humanoid robots. Focus on designing scalable data pipelines, establishing safety KPIs, and enabling data-driven safety decisions across autonomy, controls, and deployment operations.

Location

Location: San Carlos, CA, United States (On-site)

Company

hirify.global builds humanoid robots designed to operate safely and reliably in home environments, combining robotics, AI, and manufacturing at scale.

What you will do

  • Lead development of safety analytics systems providing visibility into robot safety performance across development, testing, and production.
  • 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, and operational safety trends.
  • Collaborate cross-functionally with Autonomy, Controls, Data Infrastructure, Product, and Safety teams to improve safety signals and decision-making.
  • Continuously monitor, report, and analyze safety performance at fleet scale to improve robot safety readiness.

Requirements

  • On-site work in San Carlos, CA, United States
  • 10+ years experience in safety analytics, robotics systems, autonomous systems, or related technical domains.
  • Strong experience with large-scale data infrastructure, analytics platforms, and operational telemetry systems.
  • Proficiency in Python, SQL, Spark, or similar tools.
  • Bachelor’s degree in Computer Science, Robotics, Engineering, or related technical field.
  • Strong analytical and systems-thinking skills with ability to translate complex behaviors into measurable safety insights.

Nice to have

  • Experience with autonomous systems, AVs, industrial automation, or safety-critical systems.
  • Familiarity with safety standards such as ISO 13849, IEC 61508, ISO 26262.
  • Background in machine learning, anomaly detection, or statistical modeling for operational systems.
  • Advanced degree (MS or PhD) in Robotics, AI, Data Science, or related field.

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Generous paid time off, company holidays, and parental leave.
  • 401(k) plan with company match.
  • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA).
  • Commuter benefits, short-term and long-term disability, life insurance.
  • Employee Assistance Program (EAP) for mental health, financial, and personal support.
  • Onsite snacks and catered lunches.

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