Sr. Equipment Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Sr. Equipment Engineer (AI): Modernizing semiconductor wafer manufacturing equipment by integrating advanced automation, sensor data, and AI-driven control strategies with an accent on tool reliability, uptime, and process stability. Focus on building predictive maintenance models, implementing automated decision-making systems, and collaborating across engineering teams to drive high-impact manufacturing improvements.
Location: Must be based in Bloomington/Edina, MN, USA (Onsite)
Salary: $92,310 - $131,994
Company
is a global leader in data storage solutions, empowering humanity to thrive in the data age through precision-engineered technology.
What you will do
- Lead the installation, modification, and maintenance of wafer processing equipment to ensure peak performance.
- Develop and deploy factory control strategies using automation, sensors, and AI-driven monitoring solutions.
- Integrate data collection systems using Python and SQL to enhance tool performance and decision-making.
- Build and support lightweight AI models for anomaly detection and predictive maintenance.
- Partner with cross-functional teams to solve complex manufacturing issues and drive root cause investigations.
- Maintain technical documentation and provide support to technicians and engineering teams.
Requirements
- Bachelor’s degree in Engineering (Electrical, Mechanical, Chemical, Computer, Materials, Physics, or IT) with 5+ years of experience, or equivalent advanced degree.
- Hands-on experience with semiconductor or wafer manufacturing equipment (Photolithography, Plating, Metrology, or Inspection).
- Proficiency in programming or scripting (Python, SQL, R).
- Experience with statistical analysis tools (JMP, Minitab, Six Sigma).
- Must be able to work onsite in Bloomington/Edina, MN.
- Strong problem-solving mindset and ability to influence cross-functional teams.
Nice to have
- Experience integrating sensors, edge devices, or data acquisition systems.
- Familiarity with AI/ML concepts applied to equipment monitoring.
- Background in upgrading legacy tools with modern controls.
- Knowledge of SPC, DOE, or DMAIC methodologies.
Culture & Benefits
- Comprehensive medical, dental, vision, and life insurance.
- 401(k) retirement plan with company participation.
- 16 weeks of paid parental leave.
- Paid time off including 12 holidays and sick leave.
- On-site fitness center, meditation rooms, and wellness programs.
- Employee stock purchase plan and discretionary bonus program.
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