Fab Optimization Engineer & Data Analytics

TSMC; Phoenix (AZ); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Relocation assistance available

Job summary

TSMC Arizona is seeking a Manufacturing Engineer to optimize production planning and scheduling within a fast-paced fab environment. You will collaborate with engineering teams to ensure equipment, robotic workstations and control systems meet performance targets and drive capacity utilization.

Applicants should hold a B.S. in a related field and demonstrate knowledge of optimization algorithms, and be able to lead a team while managing multiple priorities on-site in Phoenix.

Qualifications

• Strong knowledge of optimization algorithms and related fields.
• Background in Industrial Engineering or related disciplines.
• Ability to motivate, lead, and teach a team.

Responsibilities

• Possessing strong understanding manufacturing science (Theory of constraints, Capacity planning, and flow optimization).
• Ensure factory infrastructure cooperates with production control and execution systems to meet production needs.
• Collect and analyze data from tools and dispatching logic to optimize equipment and process flow.
• Create or maintain a scheduling system to meet fab capacity targets while reducing variability.
• Respond quickly to changing priorities and manage multiple projects with overlapping deadlines.
• Establish planning capabilities to maximize fab capabilities to meet customers’ requirements.
• Collaborate with engineering to ensure robotic workstations, detection instruments, and informatics tools meet goals; build team spirit.
• Manage and coordinate daily activities of Manufacturing Specialists to meet production goals.

Skills

Optimization algorithms

Industrial Engineering

Team leadership

Multitasking

Education

B.S. in Industrial Engineering, Manufacturing, Production Engineering, Industrial Management, Mechanical & Automation Engineering or related fields

Job description

TSMC Arizona is seeking a Manufacturing Engineer to optimize production planning and scheduling within a fast-paced fab environment. You will collaborate with engineering teams to ensure equipment, robotic workstations and control systems meet performance targets and drive capacity utilization.

Applicants should hold a B.S. in a related field and demonstrate knowledge of optimization algorithms, and be able to lead a team while managing multiple priorities on-site in Phoenix.