Senior Engineer I-Software Development AI/ML

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-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:

Microchip Technology Inc. has a Senior Engineer I-Software Development AI/ML opening based in Houston, Texas.  In this role, you will build and deploy AI/ML-powered software tools that enhance semiconductor engineering workflows and enable intelligent automation across enterprise functions. You will work closely with hardware, firmware, software, and business stakeholders to translate complex requirements into impactful AI-driven solutions.

Responsibilities:

• Lead the design, development, testing, and deployment of complex AI/ML software solutions, with a focus on machine learning and large language model (LLM) applications.

• Architect and implement scalable, production-grade ML systems, including model training, evaluation, optimization, and lifecycle management.

• Own the design and evolution of data pipelines and ML platform components that support multiple engineering and enterprise use cases.

• Drive technical design decisions and contribute to system architecture, balancing performance, scalability, reliability, and security.

• Mentor and provide technical guidance to junior engineers, including Engineer I and Engineer II team members.

• Set and promote best practices for code quality, testing, documentation, and model development.

• Lead code reviews and technical design reviews, providing constructive feedback and identifying technical risks early.

• Proactively monitor and improve deployed models and services, addressing performance issues, data drift, and operational concerns.

• Collaborate closely with cross-functional stakeholders (hardware, software, firmware, product management, infrastructure, data engineering, quality, and enterprise teams) to define requirements and deliver impactful AI/ML solutions.

• Evaluate emerging AI/ML technologies, tools, and methodologies, and lead the adoption of those that provide clear business or technical value.

• Contribute to responsible AI practices, including model governance, explainability, data privacy, and compliance considerations.

Requirements/Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or a related field with a significant focus on AI/ML, plus 5+ years of relevant industry experience; Master’s degree (preferred).

• Minimum of 6+ years of proven software development and programming experience in Python and JavaScript/TypeScript, with the ability to design and maintain complex software systems.

• Strong hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn), including model optimization and evaluation at sca