Intel's Foundry Automation group is seeking an experienced Software Application Engineer - Government Programs to design and deliver scalable software solutions that enhance factory automation, optimize manufacturing processes, and integrate advanced production technologies. These solutions are critical to optimizing Intel's semiconductor manufacturing processes and achieving leadership in advanced packaging technologies.
Requirements
- 3+ years of experience in software development, design, and testing, with a focus on factory automation or similar mission-critical systems (such as web service development, cloud application development).
- 3+ years' experience in C and .NET.
- 3+ Experience with at least two of the following: RDBMS Systems (Oracle, MS-SQL, Postgres etc.)
- Experience with Agile methodologies and automated testing and deployment processes.
- Experience with Python (Pandas, NumPy, SciPy) and graphical user interface (GUI) development, particularly using Applied Materials' Advanced Productivity Family (APF and FAB300).
- Experience with machine learning, data mining, and advanced optimization tools like CPLEX Optimization Studio.
- Python programming skills.
Responsibilities
- Develop, test, and maintain factory automation systems, including manufacturing execution systems (MES), production activity control (PAC), and scheduling algorithms.
- Analyze, prototype, and enhance automation solutions that improve factory performance, output, and cycle time while meeting environmental constraints.
- Partner with cross-functional teams (automation engineers, manufacturing planners, industrial engineers) to create and implement data-driven solutions using advanced technologies such as machine learning, statistical analysis, and optimization algorithms.
- Provide input to technical documentation, create product manuals, and support post-deployment systems to ensure optimal performance and scalability.
- Adapt and prioritize work based on the changing business needs.
- Troubleshooting and debugging skills in production environments.
- Software/Systems Development Life Cycle (SDLC)DevOps Practices System architecture definition and documentation.
Other
- US Citizenship required.
- Ability to obtain and maintain a US Government Security Clearance.
- Bachelor's degree in computer science, Computer Engineering, or a related field or Master's or PhD degree in Computer Science, Computer Engineering, or a related STEM field and 3+ years relevant experience.
- Strong analytical skills to address complex manufacturing challenges and develop innovative solutions.
- Excellent teamwork and communication abilities to collaborate with engineers and stakeholders.
