Principal Engineer, Machine Learning, SMAI

Our vision is to transform how the world uses information to enrich life for all. \n\nMicron 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.\n\nThe Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer (Principal Engineer).\n\nOur mission is to deliver industry-winning machine learning, custom GenAI, and Agentic AI solutions to power Micron\u2019s dominance in the highly competitive memory solutions market. Qualified applicants will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable data pipelines to execute machine learning models and AI agents. You will collaborate with Data Scientists, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron\u2019s manufacturing processes and systems.\n\nResponsibilities include, but not limited to:\n\n * Architect and execute large-scale custom model training and fine-tuning jobs (SFT, RLHF) on multi-node, multi-GPU clusters.\n * Optimize training throughput and memory efficiency using distributed training strategies (FSDP, DeepSpeed, Megatron-LM) and mixed-precision techniques (FP16/BF16).\n * Design and develop autonomous AI Agents capable of multi-step reasoning, planning, and tool execution to automate complex manufacturing workflows.\n * Implement Agentic frameworks (e.g., LangChain, LangGraph, CrewAI) to orchestrate LLM interactions with internal APIs, databases, and software tools.\n * Profile and debug GPU performance bottlenecks using tools like Nsight Systems or PyTorch Profiler to maximize hardware utilization.\n * Build and maintain data/solution pipelines that feed machine learning models and GenAI applications.\n * Design and optimize data structures in data management systems (Snowflake, and Google Cloud platforms) to enable AI/ML and Agentic solutions.\n * Create/Maintain CI/CD pipelines of machine learning and AI Agent solutions in the cloud.\n\n\n\nEducation Qualifications:\n\n * Technical Degree required. Computer Science or Statistics background highly desired.\n\n\n\nMinimum Qualifications:\n\n * Deep understanding of GPU architecture (memory hierarchy, tensor cores, interconnects like NVLink) and experience managing GPU resources in both cloud environments and on-prem.\n * Hands-on experience with Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), and model parallelism techniques.\n * Proficiency in fine-tuning Large Language Models using PEFT techniques (LoRA, QLoRA) and optimizing inference engines (vLLM, TensorRT-LLM).\n * Experience developing GenAI applications and AI Agents using frameworks like LangChain, LangGraph, LlamaIndex, or AutoGen.\n * Proficiency with Large Language Models (LLMs), including prompt engineering, function calling/tool use, and Chain-of-Thought (CoT) reasoning.\n * Experience in building and executing end-to-end ML systems automating training, testing and deploying Machine Learning models.\n * Familiarity with machine learning frameworks (PyTorch is required, TensorFlow, scikit-learn, etc.).\n * Software development skills and the desire to work on cutting edge development in a Cloud environment.\n * Strong scripting and programming skills in one of the following, Python or Java (Python preferred).\n * Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes).\n * 9+ years building scalable ETL pipelines.\n * 9+ years of experience with big data processing and/or developing applications and data sources.\n * Outstanding analytical thinking, interpersonal, oral and written communication skills.\n * Ability to prioritize and meet critical project timelines in a fast-paced environment.\n\n\n\nPreferred:\n\n * Experience with HPC job schedulers (e.g., Slurm) or orchestrating GPU workloads on Kubernetes (Ray, KubeFlow).\n * Knowledge of lower-level optimization (CUDA programming, Triton kernels, or custom C++ extensions for PyTorch).\n * Experience with Multi-Agent Systems and orchestrating collaboration between specialized agents.\n * Deep knowledge of math, probability, statistics and algorithms.\n * Demonstrated ability to study and transform data science prototypes into production solutions.\n * Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction.\n\n\n\nAs a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include 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.\n\nMicron 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.\n\nTo learn about your right to work click here.\n\nTo learn more about Micron, please visit micron.com/careers\n\nFor US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron\u2019s People Organization at [email protected] or 1-800-336-8918 (select option #3)\n\nMicron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.\n\nMicron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.\n\nAI 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\u0027s true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. \n\nFraud alert: 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 in the About Micron Technology, Inc.\n