Senior Engineer I-Software Development AI/ML

Microchip Technology Inc. • Houston, TX

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About The Position

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.

Requirements

• 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; or a 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 scale.
• Deep understanding of machine learning fundamentals, including feature engineering, model selection, bias/variance trade-offs, and performance metrics.
• Experience designing and working with large-scale structured and unstructured data systems.
• Strong understanding of software architecture principles, design patterns, and system integration.
• Proven experience with SDLC best practices, version control, automated testing, and CI/CD pipelines.
• Ability to work independently on ambiguous problems and drive solutions from concept through production.
• Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts to both technical and non-technical audiences.

Nice To Haves

• Demonstrated experience deploying and operating machine learning models in production at scale.
• Strong knowledge of MLOps practices, including model deployment, monitoring, retraining strategies, and automation pipelines.
• Experience designing AI/ML solutions using cloud platforms and services (AWS, Azure, GCP) and/or hybrid on-prem environments.
• Hands-on experience with data engineering and distributed systems technologies (e.g., Databricks, Spark, Kafka).
• Experience developing or integrating large language models (LLMs), retrieval-augmented generation (RAG), or AI-assisted developer tools.
• Background in applied AI domains such as natural language processing, recommendation systems, or analytics platforms.
• Familiarity with semiconductor engineering workflows, tooling, or data (e.g., design, verification, validation, manufacturing, or yield analysis).
• Experience supporting AI/ML solutions used by enterprise or administrative functions (HR, Finance, Legal, Marketing).
• Strong understanding of system performance optimization, scalability, security, and reliability in production environments.
• Experience working in Agile or DevOps environments to build internal tools and platforms that support engineering and business workflows.

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.

Benefits

• We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature.
• Benefits of working at Microchip
• The annual base salary range for this position, which could be performed in the US, is $70,304-$205,000.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level