Principal Engineer, Data Scientist

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.

As a Principal Data Scientist at Micron, you will

• Develop AI, LLM, ML and statistical based solutions to build state-of-the-art predictive, prescriptive , optimization and automation , pattern-mining solutions for silicon design verification and firmware validation
• Collaborate with cross-functional teams to ensure the accuracy, reliability, and performance of semiconductor products.
• Drive technical innovation and culture within the team by participating in generating IP and inspiring team to innovate.
• Participate in end-to-end project scoping and stakeholder discussions to determine technical merit of the idea, vale proposition and resource requirements.
• Interact with senior leadership, and cross functional teams to define scope, identify risks, deploy scalable solutions & lead multiple projects execution
• Continuously learn as well as mentor team on recent progress on semiconductor and AI/ML domain.

Key requirements:

• Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field.
• Experience: 12+ years in data science and machine learning. Experience in silicon verification or semiconductors in general is highly desirable.
• Technical Skills
  • In-depth understanding statistics, classical ML algorithms, neural networks and in-depth understanding of algorithms and formulation behind LLM, RAG and agents.
  • Hands on experience and solid understanding of data engineering and building deployment pipelines for solutions built.
  • Be able to extract, process and clean data using known frameworks.
  • Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI).
• Project Management
  • Ability to scope projects, develop project plan and lead, execute, and deliver as per the plan.
  • Ability to understand the customer pain point and find appropriate solutions to address the problem.
• Soft skills
  • Strong passion and attitude to work in semiconductor industry delivering high value and high impact data science solutions.
  • Attitude and temperament for team-work, mentoring, learning, ethics and professional communication.

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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