Engineer II-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 an Engineer II-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:

• Design, develop, test, and deploy software solutions with a focus on machine learning, and large language model applications.

• Implement and optimize machine learning models, including training, evaluation, and performance tuning.

• Develop and maintain data pipelines and model integration into production systems.

• Write clean, maintainable, and well-documented code following best software engineering practices.

• Participate in code reviews, technical design discussions, and architecture decisions.

• Monitor deployed models for performance, reliability, and data drift; recommend and implement improvements.

• Collaborate with cross-functional teams (product hardware and software development, product management, data engineering, infrastructure, and quality) to translate business requirements into scalable AI/ML solutions.

• Stay current with emerging AI/ML techniques, tools, and industry trends, and apply them where appropriate.

Requirements/Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related field with a focus on AI/ML, plus 2.5 years of relevant industry experience; or a Master's degree (preferred).

• Minimum of 5+ years of proven software development and programming experience in one or more languages including Python and JavaScript/TypeScript.

• Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

• Solid understanding of core machine learning concepts, including supervised and unsupervised learning, model evaluation, and feature engineering.

• Experience working with structured and/or unstructured data.

• Familiarity with software development lifecycle (SDLC), version control systems (e.g., Git), and CI/CD practices.

• Strong problem-solving skills and ability to work both independently and collaboratively.

• Effective written and verbal communication skills.

Preferred Qualifications:

• Experience deploying machine learning models in production environments.

• Knowledge of MLOps practices, model monitoring, and automation pipelines.

• Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP) for AI/ML workloads.

• Experience with data engineering tools, distributed systems, or big data technologies (e.g., Databricks, Spark, Kafka).

• Background in applied AI domains such as natural language processing, or recommendation systems.

• Understanding of software performance optimization, scalability, and security considerations.

• Prior experience working in an Agile or DevOps development environment.

Travel Time:

Physical Attributes:

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Pay Range:

Benefits of working at Microchip

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 Know Your Rights: Workplace Discrimination is Illegal Poster.

To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.