3 дня назад
Robotics Engineer (AI)
164 000 - 264 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics Engineer (AI): Building and commissioning robotic control systems for data center infrastructure with an accent on motion control, safety architecture, and fleet integration. Focus on ensuring high availability of robotic systems in production environments and implementing functional safety standards.
Location: Must be based in or able to work on-site in Austin, TX; New York, NY; San Francisco, CA; or Seattle, WA
Salary: $164,000 – $264,000
Company
is building civilization-scale infrastructure for AI by designing, building, and operating high-performance data centers.
What you will do
- Engineer controls for robotics in the data center, including motion, safety, and facility system integration.
- Own the robot control stack integration, covering fleet management, task dispatch, and telemetry.
- Design safety architecture, including zones, interlocks, and functional safety for human-robot collaboration.
- Commission robotic systems at sites and ensure they meet strict availability targets.
- Debug and optimize systems across mechanical, electrical, and software domains.
Requirements
- Proven experience engineering controls for robotic or automated systems in production.
- Experience implementing functional safety around robots, including risk assessments and safety PLCs.
- Ability to integrate robot fleets with external systems.
- Must be able to work on-site and perform commissioning and debugging in a data center environment.
- Focus on maintaining high availability and performance metrics rather than just prototyping.
Nice to have
- Experience with ROS or fleet management platforms.
- Familiarity with AMR platforms.
- Knowledge of robot safety standards such as ISO 10218 or ISO 3691-4.
- Experience working in data center environments.
Culture & Benefits
- Full-time role with competitive base salary and equity.
- High-intensity, fast-paced environment focused on solving frontier AI infrastructure challenges.
- Culture of extreme ownership, first-principles thinking, and high velocity.
- Opportunity to work on civilization-scale infrastructure projects.
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