Micron Technology is hiring: Principal Engineer, MLE, SMAI in Boise

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.

The Smart Manufacturing and AI team at Micron Technology builds advanced machine learning, GenAI, and agentic AI solutions that directly impact how memory is designed and manufactured. We work at the intersection of AI, data, and high‑performance computing to solve complex, real‑world problems at scale. If you’re excited by pushing AI into production where it truly matters, this is the place to do it!

As a Principal Machine Learning Engineer, you will play a critical role in designing and deploying scalable AI systems that power Micron’s manufacturing operations. This role combines deep technical expertise with hands‑on work and involves partnering closely with data scientists, data engineers, and domain experts to turn new AI into measurable business impact.

Responsibilities

• Architect and complete large‑scale custom model training and fine‑tuning jobs (SFT, RLHF) on multi‑node, multi‑GPU clusters.


• Optimize training throughput and memory efficiency using distributed training strategies (FSDP, DeepSpeed, Megatron‑LM) and mixed‑precision techniques (FP16/BF16).


• Design and develop autonomous AI Agents capable of multi‑step reasoning, planning, and tool execution to automate complex manufacturing workflows.


• Implement Agentic frameworks (e.g., LangChain, LangGraph, CrewAI) to orchestrate LLM interactions with internal APIs, databases, and software tools.


• Profile and debug GPU performance bottlenecks using tools like Nsight Systems or PyTorch Profiler to improve hardware utilization.


• Build and maintain data/solution pipelines that feed machine learning models and GenAI applications.


• Design and optimize data structures in data management systems (Snowflake, and Google Cloud platforms) to enable AI/ML and Agentic solutions.


• Create and maintain CI/CD pipelines of machine learning and AI Agent solutions in the cloud.

Minimum Qualifications

• Deep understanding of GPU architecture (memory hierarchy, tensor cores, interconnects like NVLink) and experience managing GPU resources in both cloud environments and on‑prem.


• Hands‑on experience with Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), and model parallelism techniques.


• Proficiency in fine‑tuning Large Language Models using PEFT techniques (LoRA, QLoRA) and optimizing inference engines (vLLM, TensorRT‑LLM).


• Experience developing GenAI applications and AI Agents using frameworks like LangChain, LangGraph, LlamaIndex, or AutoGen.


• Proficiency with Large Language Models (LLMs), including prompt engineering, function calling/tool use, and Chain‑of‑Thought (CoT) reasoning.


• Experience in building and driving end‑to‑end ML systems automating training, testing and deploying Machine Learning models.


• Familiarity with machine learning frameworks (PyTorch is required, TensorFlow, scikit‑learn, etc.).


• Software development skills and the desire to work on innovative development in a Cloud environment.


• Strong scripting and programming skills in Python or Java (Python preferred).


• Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes).


• 9+ years building scalable ETL pipelines.


• Proven experience with large‑scale data processing and/or developing applications and data sources.


• Outstanding analytical thinking, interpersonal, oral and written communication skills.


• Ability to prioritize and meet critical project timelines in a fast‑paced environment.


• Bachelor’s degree in Computer Science or Statistics background, or equivalent experience.

Preferred

• Experience with HPC job schedulers (e.g., Slurm) or orchestrating GPU workloads on Kubernetes (Ray, KubeFlow).


• Knowledge of lower‑level optimization (CUDA programming, Triton kernels, or custom C++ extensions for PyTorch).


• Experience with Multi‑Agent Systems and orchestrating collaboration between specialized agents.


• Deep knowledge of math, probability, statistics and algorithms.


• Demonstrated ability to study and transform data science prototypes into production solutions.


• Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction.


• Master's degree or equivalent experience in a field related to Computer Science or Statistics.

Benefits

Micron provides benefits that support well‑being, professional growth, and financial security. These include medical, dental, and vision plans, income protection programs, paid family leave, a robust paid time‑off program, and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Equal Opportunity Statement

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

Legal Notice

To learn about your right to work. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI & Fraud Advisory

Applicants 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. Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website.