Staff/Principal Engineer - Data Science/Agentic Frameworks

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.

At Micron, we transform how the world uses information to enrich life for all. The pace is fast, collaboration occurs on a regular basis, and innovation is expected. As a Staff/Principal Engineer within the STPG Product Engineer team, you will be responsible for architecting and developing machine learning models and agentic workflow solutions.

Key Responsibilities:

• Develop Proof-of-concepts (PoC) to assess the feasibility and performance of various AI models and to demonstrate the potential benefits to stakeholders.
• Perform business analysis, requirement gathering, and solution workflow design for traditional ML/Gen AI projects
• Design and implement Google ADK/other Gen AI framework solutions and POCs tailored to various teams needs.
• Collaborate with cross-functional teams, including teams of SMEs, data scientists and data engineers, to drive the AI strategy and implementation with the existing systems and to brainstorm software/AI/ML solutions.
• Routinely communicate overall project status to leadership and cross functional product team

Qualifications:

Successful candidates for this exciting opportunity will have:

• 10+ years of hands-on experience in projects that focused on one or more of the following areas: Generative AI, machine learning, ML Ops and/or Predictive Analytics.
• Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.
• Experience architecting high-impact AI solutions for diverse projects.
• Experience working in semiconductor industry is a plus.
• Hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
• Experience working with RAG, vector databases, LLM APIs and agentic frameworks.
• Excellent data analysis, problem solving, and decision-making skills
• Ability to work independently in a very fast paced environment and adapt to change
• Self-motivated and enthusiastic in a challenging, dynamic environment

Education:

• Position requires a minimum of a Bachelor's degree in Computer Engineering, Electrical or Electronics.
• Course work in AI/ML, VLSI, semiconductor process is desirable, but not required.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.   

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