Intel Module Engineer - Dry Etch 

India, Karnataka, Bengaluru 

784333380

Job Description:

Dry Etch group under Intel's Technology Development organization is seeking a skilled and motivated process engineer with emphasis on data analysis to support semiconductor manufacturing research and development processes for our U.S.-based operations.

• The ideal candidate will have a strong background in data analytics, a solid understanding of semiconductor manufacturing, and the ability to work collaboratively across time zones. This position requires advanced problem-solving skills, technical expertise, and experience in data-driven decision-making to optimize manufacturing performance.

Key Responsibilities:

• Analyze manufacturing process data to identify trends, anomalies, and improvement opportunities.
• Develop dashboards and reports for real-time monitoring and decision-making support for U.S.-based teams.
• Collaborate with U.S. semiconductor manufacturing teams to understand process requirements and implement data solutions.
• Utilize advanced statistical methods, machine learning, and predictive modeling to enhance yield, reduce defects, and optimize production.
• Ensure data integrity, accuracy, and security in all analyses and reporting.
• Support root cause analysis for process issues using data-driven methodologies.
• Maintain and improve data pipelines for automated data processing and reporting.
• Coordinate with cross-functional teams (engineering, operations, and IT) to deliver.

Master’s degree or Bachelor’s in electrical engineering, Computer Science, Mechanical Engineering, Chemical Engineering, Computer Engineering, Applied Mathematics, or other relevant related degrees with Industry experience in one of the following:

• B.Tech with 5+ years and M.Tech with 2+ years of experience in data analytics, preferably in a manufacturing or semiconductor environment.
• Strong understanding of statistical analysis, machine learning models, and process control methodologies.
  

Preferred Qualifications:

• Proficiency in data analysis tools and programming languages: Python, R, SQL, etc.
• Experience with visualization tools such as Tableau, Power BI, or equivalent.
• Knowledge of semiconductor manufacturing processes and yield analysis is highly preferred.
• Excellent problem-solving and analytical skills with a keen eye for detail.
• Strong communication and collaboration skills to work with global teams.
• Ability to manage multiple priorities in a fast-paced environment.
  
• Working Hours:
• The position will primarily align with local time, with some flexibility to accommodate collaboration across U.S. time zones.

Experienced HireShift 1 (India)India, Bangalore