Seagate is looking to integrate AI technologies to enhance the performance, reliability, and cost-effectiveness of their Wafer Processing equipment used in manufacturing.
Requirements
- Proficient in computer programming languages such as Python, R, or Java, with a focus on AI and machine learning applications.
- Hands-on experience with real robots
- Prior research or project work in autonomous navigation or reinforcement learning
Responsibilities
- Be responsible for development and deployment of Wafer Processing equipment for manufacturing, with a focus on integrating AI technologies to enhance performance
- Develop AI analytical tools to evaluate equipment performance and reliability to facilitate decision making
- Analyzing historical data on tool parameters and maintenance records and integrating AI for predictive maintenance
- Establish AI-driven programs and solutions for increasing uptime and for equipment problems that affect the manufacturing process.
- Provide technical support to the manufacturing equipment repair and process engineering organizations, leveraging AI tools.
- Explore opportunities of using AI optimization to ensure the effective use of materials, equipment, and personnel in producing quality products at minimum costs.
- Potential for collaborate on prototyping intelligent robotic systems
Other
- Solid written and oral communication skills
- Excellent problem-solving skills, with a key interest in AI technologies
- Driven to results
- Passionate about technology
- Critical thinker
