Member of Technical Staff, AI Engineering

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 is looking for GPU Performance Engineer. Our mission is to deliver industry-winning machine learning, custom GenAI, and Agentic AI solutions to power Micron’s 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’s manufacturing processes and systems.

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.
• Analyze and profile complex workloads (e.g., LLM training, Rendering pipelines) to identify bottlenecks in compute, memory bandwidth, and latency.
• Write and optimize high-performance kernels using CUDA, HIP, or custom assembly (PTX/SASS) to unlock hardware capabilities.
• Collaborate with Hardware Architects to define features for next-generation GPUs based on workload characterization.
• Design and implement performance regression testing suites to catch degradations in drivers or compilers.
• Mentor junior engineers on parallel programming paradigms and optimization techniques.

Minimum Qualifications:

• Technical Degree required. Ph.D. in Computer Science or Statistics background highly desired.
• Deep understanding of GPU architecture (memory hierarchy, tensor cores, NVLink), GPU resource management (cloud & on‑prem), 5+ years in performance optimization/parallel computing/low‑level systems, and deep expertise in C++ with GPGPU frameworks (CUDA preferred; HIP/OpenCL/Metal acceptable).
• Hands-on experience with DDP, FSDP, model parallelism, and building end‑to‑end ML systems that automate training, testing, and deployment.
• Proficiency with LLMs including prompt engineering, function calling/tool use, CoT reasoning; fine‑tuning using PEFT techniques (LoRA, QLoRA); and optimizing inference engines (vLLM, TensorRT‑LLM).
• 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‑learn, etc.).
• 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.

Preferred Qualifications:

• Experience with HPC job schedulers (e.g., Slurm) and orchestrating large‑scale GPU workloads on Kubernetes using tools like Ray and Kubeflow.
• Knowledge of CUDA programming, Triton kernels, and building custom C++ extensions for PyTorch to accelerate workloads.
• Experience designing and orchestrating collaboration between specialized agents in multi‑agent architectures.
• Deep knowledge of mathematics, probability, statistics, and algorithms.
• 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.

As 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.

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.

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To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at  hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

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