SM Execution Process Engineer (1st Shift)

Change the world. Love your job.

Texas Instruments is looking for an energetic engineer with a passion for process. This position provides the opportunity to drive continual improvement at all levels. Our team is primarily focused on driving improved procedures and processes. We are searching for a self-directed, highly motivated engineer to join our team.
The responsibilities of a Manufacturing Process Engineer in this role include:

• Be curious. Seek feedback. Honor commitments. Drive results.


• Support manufacturing operations in a high-interrupt and rapidly ramping tool install environment.


• Develop and implement improved methods of manufacturing, procedures, and processes that result in improved efficiencies, yields, machine operations, and quality


• Implement project or improvement plans for areas of responsibility including but not limited to: efficiency improvements, cost reduction or quality improvement programs, new product support and other process improvements


• Perform lot and equipment dispositions to support the continuous flow of production and to minimize cycle time in a high volume manufacturing 300mm wafer Fab running Analog Technologies


• Identify systematic problems in either process or equipment related sources and communicating findings to the engineering staff in a continuous manner


• Support the manufacturing ramp with execution of equipment/process startup, process experiments (SWRs)


• Participate in data analysis and problem resolution


• Collaborate across teams/ branches to solve fab priorities, which can change quickly.

Key Responsibilities:

• Lead Quality Event Management: Lead the charge in identifying and quickly resolving quality excursions, determining root causes, and containing/dispositioning affected material. Your expertise and attention to detail will ensure only the highest quality products go to our customers.


• Enable Flawless Execution: Develop, implement, and execute strategies for handling out-of-control (OOC) and out-of-specification (OOS) lots, as well as YE down dispositions. Your data gathering and analytical skills will help optimize our processes and drive operational performance. In addition you will lead day to day operational execution to provide support and feedback on factory critical systems


• Drive Process Stability: Own Statistical Factory Control (SFC) and continuously improve our inline performance, ensuring stable processes and high process yields. You will also identify and lead chamber/tool matching opportunities to achieve best-in-class Cpk and %OOC rates.


• Operational Improvements: Identify and execute opportunities to maximize output of installed capacity (MOOI) and reduce cycle time (CT). You will also implement Smart Manufacturing and Automation (SMA) solutions and reduce WIP wait time to maximize our operational efficiency.


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  Training and Development: Contribute to the growth of our Process Engineering Technicians through ongoing training and development. You will also create tools to improve team efficiency (reports/visualizations) and document new learnings in our disposition specs.

  
  

   

Minimum requirements:

• 3+ years relevant Process Engineering experience


• Bachelor's degree in Chemical Engineering, Chemistry, Electrical Engineering, Materials Science Engineering, Mechanical Engineering, Physics, or a related technical field


• Strong foundation in statistical process control, engineering change control and process release strategies


• Ability to work 12 hour compressed A or C shift work schedule

Preferred Qualifications:

• Experience with CVD, PVD, Implant, and/or Epi and associated processes or strong ability to learn processes


• Strong understanding of semiconductor manufacturing processes: Familiarity with 300mm wafer fabrication, process control, and yield enhancement techniques. Ability to identify and mitigate risks associated with process changes, equipment maintenance, and quality events.


• Statistical Process Control (SPC) and data analysis: Ability to collect, analyze, and interpret data to identify trends, correlations, and root causes of process variations. Ability to collect and analyze data to inform decision-making and drive process improvements.


• Problem-solving and troubleshooting: Effective problem-solving skills to identify and resolve process issues and troubleshoot equipment and process problems. Ability to identify and analyze root causes of process variations and quality events.


• Commitment to quality and safety: Strong commitment to ensuring the highest quality products and maintaining a safe working environment. Ability to maintain accurate records, follow procedures, and ensure compliance with quality and safety standards.


• Leadership and teamwork: Ability to lead and participate in teams to resolve quality events, implement process improvements, and achieve operational excellence.


• Communication and collaboration: Ability to effectively communicate with cross-functional teams, including production, maintenance, and quality teams.


• Proactive and results-driven: Ability to take initiative, drive results, and achieve goals in a fast-paced environment. Willingness to learn new technologies, processes, and techniques, and adapt to changing priorities and requirements.


• Proficiency with Python, Claude, or other AI modules or tools is a plus


• Demonstrated strong analytical and problem solving skills


• Strong verbal and written communication skills


• Ability to work in teams and collaborate effectively with people in different functions


• Strong time management skills that enable on-time project delivery


• Demonstrated ability to build strong, influential relationships


• Ability to work effectively in a fast-paced and rapidly changing environment


• Ability to take the initiative and drive for result