Technical Staff Engineer-Software

Are you looking for a unique opportunity to be a part of something great? Want to join a 20,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology, Inc.

People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip’s nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it’s won us countless awards for diversity and workplace excellence.

Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you.

Visit our careers page to see what exciting opportunities and company perks await!

Job Description:

As a Technical Staff Software Engineer specializing in machine learning, you will play a pivotal role in improving our yields related to inline defects, map and probe test results, and creating correlations with failure analysis results. You will leverage your expertise in software engineering and machine learning to develop and implement advanced algorithms and models that drive significant improvements in our manufacturing processes.

Requirements/Qualifications:

• BS or MS in Electrical, Computer Engineering or Computer Science with 12.5+ years of experience.
• Proven experience in software engineering with a focus on machine learning applications.
• Strong programming skills in languages such as Python, Java, or C++.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of data structures, algorithms, and statistical methods.
• Familiarity with manufacturing processes, inline defect analysis, and failure analysis is highly desirable.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
• Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.

Key Responsibilities:

• Design, develop, and implement machine learning models to analyze and improve yields related to inline defects, map and probe test results.
• Create and maintain robust data pipelines to collect, process, and analyze large datasets from various sources.
• Develop algorithms to identify patterns and correlations between inline defects, test results and failure analysis outcomes.
• Collaborate with cross-functional teams, including data scientists, hardware engineers, and quality assurance, to integrate machine learning solutions into our production environment.
• Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.
• Continuously monitor and optimize the performance of deployed models to adapt to changing conditions and improve yield outcomes.
• Document and present findings, methodologies, and results to stakeholders and team members.
• Stay up-to-date with the latest advancements in machine learning, software engineering, and manufacturing technologies.

Preferred Qualifications:

• Experience with microservices architecture and RESTful API design.
• Knowledge of statistical analysis and data visualization tools.
• Familiarity with DevOps practices and CI/CD pipelines.
• Knowledge of database systems, both SQL and NoSQL.
• Experience with front-end technologies and frameworks (e.g., React, Angular, Vue.js).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).

Travel Time:

0% - 25%

Physical Attributes:

Feeling, Handling, Hearing, Talking, Works Alone, Works Around Others

Physical Requirements:

100% inside, 80% sitting, 10% standing, 10% walking

Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
For more information on applicable equal employment regulations, please refer to the EEO is the Law Poster and the EEO is the Law Poster Supplement. Please also refer to the Pay Transparency Policy Statement.