Member of Technical Staff, AI Engineering
Job Summary
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 Microns 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 Microns 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 & onprem) 5 years in performance optimization/parallel computing/lowlevel 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 endtoend ML systems that automate training testing and deployment.
- Proficiency with LLMs including prompt engineering function calling/tool use CoT reasoning; finetuning using PEFT techniques (LoRA QLoRA); and optimizing inference engines (vLLM TensorRTLLM).
- Experience developing GenAI applications and AI agents using frameworks such as LangChain LangGraph LlamaIndex and AutoGen with strong ML framework knowledge (PyTorch required; TensorFlow scikitlearn 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 largescale 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 multiagent 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 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 US Sites Only: To request assistance with the application process and/or for reasonable accommodations please contact Microns People Organization at or 1- (select option #3)
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 candidates true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
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Required Experience:
IC
About Company
Explore Micron Technology, leading in semiconductors with a broad range of performance-enhancing memory and storage solutions