Engineering Jobs at Micron Technology with Visa Sponsorship
Micron Technology hires Engineers across semiconductor design, process integration, memory architecture, and manufacturing operations. The company has an established sponsorship program for international Engineers at various career stages, covering both temporary work visas and permanent residence pathways for qualifying roles.
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Get Access To All JobsINTRODUCTION
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.
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).
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 candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud 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.
INTRODUCTION
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.
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).
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 candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud 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.
See all 341+ Engineering at Micron Technology jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering at Micron Technology roles.
Get Access To All JobsTips for Finding Engineering Jobs at Micron Technology Jobs
Align your credentials to semiconductor domain requirements
Micron's Engineering roles cluster around DRAM, NAND, and 3D XPoint technologies. Frame your degree and experience around specific materials science, electrical engineering, or computer engineering disciplines that map to memory chip design or process integration work.
Target Micron's fab and R&D site locations strategically
Micron's major U.S. engineering hubs include Boise, Manassas, and Folsom. Each site has distinct engineering functions. Research which facility aligns with your specialty so your application lands with the team that actually has open headcount.
Understand how Micron uses both H-1B and H-1B1 sponsorship
Micron sponsors H-1B visas for most international Engineers, but also files H-1B1 petitions for qualifying nationals. If you're eligible for the H-1B1 cap-exempt pathway, it bypasses the annual lottery entirely and can accelerate your start date significantly.
Prepare your employment authorization documentation before offer stage
Micron uses E-Verify for all new hires. Have your I-94, current visa stamp, and any existing EAD documentation organized before you reach the offer stage so employment verification doesn't delay your onboarding or create complications with your petition filing timeline.
Find open Engineering roles at Micron using Migrate Mate
Micron posts Engineering positions across multiple functions simultaneously. Use Migrate Mate to filter specifically for Micron roles that indicate visa sponsorship, so you're applying to openings where sponsorship is already confirmed rather than discovering eligibility late in the process.
Ask your recruiter explicitly about PERM timing for EB-2 or EB-3
Micron sponsors permanent residence through PERM-based EB-2 and EB-3 categories for Engineers. The earlier your employer initiates the PERM labor certification with DOL, the sooner your priority date is established, which matters significantly if you're from a backlogged country.
Engineering at Micron Technology jobs are hiring across the US. Find yours.
Find Engineering at Micron Technology JobsFrequently Asked Questions
Does Micron Technology sponsor H-1B visas for Engineers?
Yes, Micron Technology sponsors H-1B visas for Engineering roles. The company has a well-established sponsorship program that covers both the initial H-1B petition and subsequent renewals. Micron also sponsors H-1B1 visas for eligible nationals from qualifying countries, which can be a faster path since H-1B1 is not subject to the annual H-1B lottery cap.
How do I apply for Engineering jobs at Micron Technology?
Apply directly through Micron's careers portal or use Migrate Mate to browse and filter Micron Engineering roles that have confirmed visa sponsorship. Tailor your resume to the specific engineering discipline the role requires, whether that's process engineering, design verification, or equipment engineering, since Micron's hiring teams assess technical fit at the function level, not just broadly as an Engineer.
Which visa types does Micron Technology commonly sponsor for Engineering roles?
Micron sponsors H-1B and H-1B1 visas for temporary work authorization in Engineering roles. For permanent residence, Micron uses PERM-based EB-2 and EB-3 immigrant visa categories. EB-2 typically applies to Engineers with advanced degrees or roles requiring specialized expertise, while EB-3 covers positions that meet the skilled worker threshold under DOL's prevailing wage framework.
What qualifications does Micron Technology expect for sponsored Engineering roles?
Most of Micron's sponsored Engineering roles require a bachelor's degree or higher in electrical engineering, materials science, chemical engineering, or computer engineering. Roles tied to process integration or device characterization often expect hands-on fab or cleanroom experience. Advanced degrees strengthen candidacy for EB-2 sponsorship and for roles in R&D or memory architecture, where USCIS specialty occupation criteria are easier to satisfy with a directly relevant graduate credential.
How long does the visa sponsorship process typically take when joining Micron as an Engineer?
If Micron files an H-1B petition for a cap-subject Engineer, USCIS registration opens in March each year for an October 1 start date, meaning you may wait six months or more from selection to employment authorization. H-1B1 petitions are processed outside the lottery and typically take one to three months. PERM labor certification for Green Card sponsorship involves additional DOL processing and can take a year or longer depending on audit risk and backlog conditions.
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