6 часов назад
Lead Safety Analytics Engineer (Robotics)
170 000 - 259 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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