Software Engineer II: AI/ML Data Pipelines for Manufacturing

Microchip Technology Inc.; Chandler (AZ); On-site; USD 110,000 - 150,000; Full time

Job summary

Microchip Technology Inc. in Chandler, AZ is seeking a software engineer to help transform manufacturing data with Python-based services, AI/ML analytics, and LLM-driven tools.

You’ll work with test and yield engineers to build scalable data pipelines and prototype AI solutions deployed on the factory floor. We value hands-on developers who translate complex problems into robust software, write clear documentation, and collaborate across infrastructure, devops, and frontend teams in a

Qualifications

• Bachelor’s degree in CS, CSIS, Math, or related field.
• 3+ years of professional software development experience.
• Proficiency in Python with real applications, pipelines, or tooling.
• Strong SQL skills with complex queries across relational DBs.
• Familiarity with AI/ML concepts and at least one framework or API.
• Ability to translate business problems into technical solutions.

Responsibilities

• Build Python services, APIs, and data pipelines at scale.
• Develop and deploy AI/ML models and LLM-based solutions.
• Design and maintain data infrastructure (databases, messaging, web platforms).
• Collaborate with test, yield, and process engineers to solve challenges.
• Identify and implement automation opportunities using an AI/ML-first mindset.
• Maintain clear technical documentation for the team.

Skills

Python

SQL

AI/ML concepts

Problem solving

Education

Bachelor’s degree in Computer Science / Computer Information Systems / Mathematics

Tools

Docker

Kafka

Redis

Azure DevOps

Job description

Microchip Technology Inc. in Chandler, AZ is seeking a software engineer to help transform manufacturing data with Python-based services, AI/ML analytics, and LLM-driven tools.

You’ll work with test and yield engineers to build scalable data pipelines and prototype AI solutions deployed on the factory floor. We value hands-on developers who translate complex problems into robust software, write clear documentation, and collaborate across infrastructure, devops, and frontend teams in a