Test Vision System Equipment Engineer

Change the world. Love your job.

Do you want to work for an organization that values your opinion? Do you want to work for an organization where you can play a pivotal role in several different areas? Look no further. As a Texas Instruments Equipment Engineer, you will have the opportunity to work in a vibrant and dynamic team oriented environment.

Responsibilities include:

• Evaluating, selecting, and ordering equipment that is most appropriate and cost effective for the manufacture of company products
• Overseeing the installation, modification, upgrade and maintenance of manufacturing equipment
• Keeping current on equipment manufacturers' technical notices, upgrades and safety issues
• Studying equipment performance and reliability
• Establishing programs and solutions for increasing uptime and for equipment problems that affect the manufacturing process
• Providing technical support to the manufacturing equipment repair and process engineering organizations
• Defining and writing preventative maintenance schedules

Minimum Requirements:

• Minimum Education (Bachelor's degree Electrical Engineering, Electrical Computer Engineering, Chemical Engineering, Mechanical Engineering, Materials Science Engineering,) Physics or related engineering degree

   

• Experienced in algorithm development, image processing, and system integration.
• Expert in developing and deploying automated vision systems to improve production quality and efficiency. 
• Technical Skills:
  • Vision Hardware: Cameras (Area/Line Scan), Lenses, Resolution and Lighting (LED, Backlighting).
  • Software/Libraries: OpenCV, Cognex VisionPro, HALCON, Python, C++.
  • Automation: PLC, Industrial Ethernet, Robotics ,Cognex VIDI , AI/ML Applications
  • Quality Metrics: Defect detection rate, False Acceptance Rate (FAR)
• Experience:
  • Vision Inspection Equipment Experience for Semiconductor Packages (Assembly and Test )
    • Conducted in-process and final inspections to verify product quality against established procedures.
    • Developed and optimized vision systems to improve inspection efficiency.
    • Identified non-conformities and collaborated with teams to resolve failures.
  • Vision System Development: Designed and implemented automated visual inspection stations.
  • Configured and deployed Automated Optical Inspection (AOI) systems for high-speed manufacturing.
  • Image Algorithm Optimization: Developed image processing algorithms or have used AI/ML  to enhance contrast and detect sub-millimeter defects.
  • Data Analysis & Reporting: Utilized statistical analysis software to analyze inspection data and optimize production processes.n