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2 дня назад

Manufacturing Automation Engineer

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

Текст:
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TL;DR
Manufacturing Automation Engineer (AI hardware/manufacturing): Designing, implementing, and optimizing automated assembly and test systems for AI chip manufacturing with an accent on PLCs, industrial controls, robotics, and production equipment validation. Focus on improving equipment effectiveness, troubleshooting failures, leading automation projects, and reducing defects while maintaining safety and quality standards.

Location: On-site at the Sunnyvale headquarters office; travel to contract manufacturing sites and suppliers may be required.

Company

hirify.global builds large-scale AI chips and AI computing systems designed to deliver high-speed model training and inference.

What you will do

  • Design, develop, implement, maintain, and optimize automated manufacturing assembly and test systems.
  • Program, troubleshoot, and optimize PLCs, HMIs, SCADA systems, robotics, and industrial control systems.
  • Support installation, commissioning, and validation of production equipment.
  • Analyze manufacturing processes to improve productivity, quality, safety, cost, and overall equipment effectiveness.
  • Perform root cause analysis, implement corrective actions, and support preventive and predictive maintenance.
  • Lead or support capital automation projects from concept through implementation, including documentation and personnel training.

Requirements

  • Bachelor's degree in electrical, mechanical, mechatronics, automation engineering, or a related technical field.
  • 3+ years of experience in manufacturing automation, industrial controls, or process engineering.
  • Experience programming PLCs such as Allen-Bradley, Siemens, Mitsubishi, Omron, or similar systems.
  • Knowledge of industrial communication protocols including Ethernet/IP, Modbus, Profinet, or DeviceNet.
  • Experience with robotics integration, automated material handling, electrical controls, sensors, actuators, servo systems, and VFDs.
  • Ability to read electrical schematics, P&IDs, and mechanical drawings, with strong troubleshooting, analytical, communication, and project management skills.

Nice to have

  • Experience with Industry 4.0, IIoT, data analytics, vision inspection systems, or machine safety standards.
  • Knowledge of SQL databases, Python, C#, or other programming languages.
  • Familiarity with Lean Manufacturing, Six Sigma, and continuous improvement methodologies.
  • Professional certification in automation or controls engineering.

Culture & Benefits

  • Work on a breakthrough AI hardware platform and high-speed AI supercomputing systems.
  • Opportunities to contribute to cutting-edge AI research, including publishing and open-source work.
  • Job stability combined with startup vitality and a non-corporate work culture.
  • Manufacturing plant environment with exposure to industrial machinery.
  • Off-shift or weekend support may be required during equipment installations or production emergencies.

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