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Member of Technical Staff, AI Engineering

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Job Description - Member of Technical Staff, AI Engineering

Req ID:\n\nJR96530 Member of Technical Staff, AI Engineering\n\nOur 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 GPU Performance Engineer. Our 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:\n\n * Architect and complete 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 * Analyze and profile complex workloads (e.g., LLM training, Rendering pipelines) to identify bottlenecks in compute, memory bandwidth, and latency.\n * Write and optimize high-performance kernels using CUDA, HIP, or custom assembly (PTX/SASS) to unlock hardware capabilities.\n * Collaborate with Hardware Architects to define features for next-generation GPUs based on workload characterization.\n * Design and implement performance regression testing suites to catch degradations in drivers or compilers.\n * Mentor junior engineers on parallel programming paradigms and optimization techniques.\n\n\n\nMinimum Qualifications:\n\n * Technical Degree required. Ph.D. in Computer Science or Statistics background highly desired.\n * Deep understanding of GPU architecture (memory hierarchy, tensor cores, NVLink), GPU resource management (cloud \u0026 on\u2011prem), 5+ years in performance optimization/parallel computing/low\u2011level systems, and deep expertise in C++ with GPGPU frameworks (CUDA preferred; HIP/OpenCL/Metal acceptable).\n * Hands-on experience with DDP, FSDP, model parallelism, and building end\u2011to\u2011end ML systems that automate training, testing, and deployment.\n * Proficiency with LLMs including prompt engineering, function calling/tool use, CoT reasoning; fine\u2011tuning using PEFT techniques (LoRA, QLoRA); and optimizing inference engines (vLLM, TensorRT\u2011LLM).\n * Experience developing GenAI applications and AI agents using frameworks such as LangChain, LangGraph, LlamaIndex, and AutoGen, with strong ML framework knowledge (PyTorch required; TensorFlow, scikit\u2011learn, etc.).\n * We seek strong programming or scripting skills in Python (preferred) or Java. Experience with CI/CD and cloud-native tools such as Git, Jenkins, Docker, and Kubernetes is essential. Applicants should work on innovative cloud development, communicate well, and prioritize delivery in fast-paced settings.\n\n\n\nPreferred Qualifications:\n\n * Experience with HPC job schedulers (e.g., Slurm) and orchestrating large\u2011scale GPU workloads on Kubernetes using tools like Ray and Kubeflow.\n * Knowledge of CUDA programming, Triton kernels, and building custom C++ extensions for PyTorch to accelerate workloads.\n * Experience designing and orchestrating collaboration between specialized agents in multi\u2011agent architectures.\n * Deep knowledge of mathematics, probability, statistics, and algorithms.\n * Demonstrated ability to evolve data science prototypes into production systems, with knowledge of computer vision and/or signal processing techniques for classification and feature extraction.\n\n\n\nJob Profile(s):\n\nMachine Learning Engineering MTS - Machine Learning Engineering DMTS\n\nRelocation Level: TBD\n\nBefore Getting Started \nPlease review Micron\u2019s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that: \n\n * Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.\n * If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.\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 Benefits | Micron Technology, Inc\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\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
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