Manufacturing System Integration Engineer

Manufacturing System Integration Engineer

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Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At SAS, we are Innovating Today to Power the Devices of Tomorrow.

In your role as a Manufacturing Systems Integration Engineer you'll be an integral part of the manufacturing systems integration team. You'll use your extensive knowledge of proprietary Samsung production systems and manufacturing expertise to improve factory bottlenecks, perform general troubleshooting tasks, and test related to these systems. Additionally, you will work closely with cross-functional teams, including manufacturing, systems, and process engineering personnel, to analyze and resolve system-related issues, and implement enhancements to our systems.

• System Analysis and Optimization:
  Utilize in-depth knowledge of Samsung production systems and manufacturing processes to identify and resolve inefficiencies, improve throughput production tools, and optimize system performance.
• Collaboration and Communication:
  Collaborate with cross-functional teams, including manufacturing, systems, and process engineering personnel, to analyze and resolve system-related issues, and implement enhancements to our systems. Provide technical expertise and support for system change points, including testing, validation, and verification.
• Documentation and Reporting:
  Develop and maintain low-level automation reports and standard operating procedures to support manufacturing operations. Create well-defined documentation for system enhancement requests and changes.
• Troubleshooting and Problem-Solving:
  Provide technical expertise and support for troubleshooting and resolving system-related issues. Use data analysis and problem-solving skills to identify and resolve complex issues.
• Data Analysis and Insight:
  Apply data analysis principles and techniques to collect, analyze, and interpret data from various sources, including sensors, machines, and other automated systems. Use data to identify trends, patterns, and areas for improvement, and provide insights to support informed decision-making.
• Chatbot Maintenance and Development:
  Maintain and develop logic for chatbots used in manufacturing operations, ensuring that they are functioning correctly and providing accurate information to users.
• Automation and System Integration:
  Apply knowledge of automation and system integration to optimize and maintain highly automated environments in our production line, including integration with chatbots and other systems, that have direct integration to action taken on the manufacturing floor.
• Cloud-Based Technologies:
  Utilize cloud-based technologies, to develop and deploy data-driven solutions.
• Introduction to Machine Learning and Artificial Intelligence:
  Participate in the development and implementation of basic machine learning and artificial intelligence concepts and applications to improve manufacturing processes and systems. This includes working with data scientists and other stakeholders to identify opportunities for machine learning and AI applications, and assisting in the development and testing of these applications.
• This position will be based in our Austin, Texas location, with potential for relocation to our Taylor, Texas location in the future. The Taylor location is approximately 30 minutes from our Austin facility.
• Shift: Compressed Work Week (Day & Night Shifts): 3 & 4 day work week (12 hour days)
• Once shift is assigned, mandatory shift rotations will occur every 3 months (day/night shifts).

• Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Data Science, or a related field.
• Minimum 2 to 5 years of experience in semiconductor manufacturing, or a related field.

• Data Analysis and Visualization:
  Proficient in data analysis and visualization tools, such as Python, Spotfire, Tableau, and or Power BI, with experience in data mining, and statical analysis.
• Manufacturing Systems and Processes:
  Knowledge of manufacturing systems and processes, including: overall Equipment Effectiveness (OEE), Utilization, Equipment Efficiency, Cycle Time, Throughput, Yield, DPML (Days per Masking Layer), SPC (Statistical Process Control),APC (Advanced Process Control).
• Industrial Engineering Principles:
  Familiarity with industrial engineering principles, including: lean manufacturing, Six Sigma, Root cause analysis, Failure mode and effects analysis (FMEA).
• Automation:
  Experience with automation, including: programming languages such as Python and R.
• Cloud-Based Technologies:
  Familiarity with cloud-based technologies, with experience in data storage, processing, and analytics.
• Integrated Development Environments (IDEs):
  Proficient in IDEs such as VS Code and Jupyter Lab,…