Microchip Technology Inc. · 18 hours ago
Senior Engineer I-Software Development AI/ML
TX - Houston - Compaq Center Dr
Full-time
Onsite
Senior Level
$70K/yr - $205K/yr
5+ years expMicrochip Technology Inc. is a global organization that designs technology powering the world, and they are seeking a Senior Engineer I for Software Development in AI/ML. 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.
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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
Qualification
Required
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
Preferred
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
Benefits
Competitive base pay
Restricted stock units
Quarterly bonus payments
Health benefits that begin day one
Retirement savings plans
Industry leading ESPP program with a 2 year look back feature
Company
Microchip Technology Inc.
Microchip Technology Inc. is a leading semiconductor supplier of smart, connected and secure embedded control solutions.
10001+ employees
H1B Sponsorship
Microchip Technology Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (170)
2024 (113)
2023 (116)
2022 (119)
2021 (94)
2020 (100)
Funding
Current Stage
Public CompanyTotal Funding
$2.42BKey Investors
Opportunity Now ColoradoSevenBridge Financial GroupSequoia Capital
2025-03-21Post Ipo Equity· $1.32B
2024-05-29Post Ipo Debt· $1.1B
2024-03-19Grant· $1.06M
Leadership Team
Steve Sanghi
CEO and President
Rich Simoncic
Chief Operating Officer
Recent News
2026-02-06
2026-01-23
GlobeNewswire
2026-01-22
Company data provided by crunchbase