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Principal AI Engineer, SMAI

Micron Technology

Boise, IDFull TimePrincipalH-1B sponsor company
Sign in to applyVerified
Location
Boise, ID
Employment
Full Time
Work model
On-Site
Level
Principal
H-1B history
69 approvals (FY2023)
Posted

Skills

.NETAngularCI/CDPerlPythonTypeScript

About this role

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About Our Team: The Frontend Manufacturing Applications team develops and supports critical software platforms that enable Micron's wafer fabrication and assembly operations. Our team partners closely with manufacturing, product, and engineering organizations to deliver reliable, scalable solutions while advancing the adoption of AI-assisted engineering practices that improve developer productivity and software quality.

Position

Overview: As a Principal Software Engineer, you will serve as a technical authority responsible for defining architecture, engineering standards, and technical strategy for frontend manufacturing applications. You will lead the organization's AI-assisted engineering initiatives while delivering business-critical software solutions that improve manufacturing efficiency, reliability, and operational performance.

Responsibilities

Lead architecture, design, and technical strategy for frontend manufacturing applications and platform modernization initiatives. Design, develop, and support production applications using technologies including .NET, C#, C++, Angular, Python, and related platforms. Establish and govern engineering standards, code review practices, and quality controls, including standards for AI-assisted software development. Evaluate, implement, and operationalize AI development tools, agentic workflows, and engineering productivity solutions across multiple teams. Mentor senior engineers, lead technical design reviews, and influence engineering direction across cross-functional teams while supporting critical manufacturing operations.

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent professional experience. 10+ years of software engineering experience developing, delivering, and supporting enterprise-scale production applications. 5+ years of experience designing system architecture and leading technical solutions across multiple applications, services, or engineering teams. Demonstrated expertise in Angular or similar modern web frameworks, TypeScript, and web application architecture. Strong hands-on development experience with .NET/C# and proficiency in at least one additional language such as Python, C++, or Perl. Proven experience applying AI-assisted development tools and agentic coding practices within production software environments. Demonstrated success influencing technical direction, improving engineering standards, and mentoring senior-level engineers. Strong written and verbal communication skills with the ability to communicate technical concepts to both technical and non-technical stakeholders. Ability to work onsite in Boise, Idaho five days per week.

Preferred Qualifications

Experience leading enterprise adoption, governance, and enablement of AI-assisted software development tools and workflows. Experience building custom AI solutions such as development agents, MCP servers, prompt libraries, context management frameworks, or engineering automation tools. Experience modernizing large legacy codebases, particularly in Perl, C++, or similarly mature technology stacks. Semiconductor manufacturing, manufacturing execution systems, industrial automation, or other operational technology experience. Experience with DevOps practices, CI/CD pipelines, automated testing frameworks, and software quality engineering. Experience developing real-time dashboards, operational monitoring solutions, or high-volume data visualization applications. Experience defining and reporting engineering productivity, quality, and operational metrics to senior leadership. Master's degree in

Listing verified . Applications go through the company's official careers site.

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