Micron Technology
Technology
StaffEngineer,SystemsHPC
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Engineer, Systems HPC at Micron Technology. Skills: AI Infrastructure, HPC Infrastructure, AWS Bedrock, Cloud Support. Support AI infrastructure platforms. Debug AI infrastructure issues”
What You'll Achieve.
Enable reliable AI infrastructure adoption; Enable scalable AI infrastructure adoption; Reduce time-to-resolution for AI issues; Reduce time-to-resolution for HPC issues; Drive adoption of AI agents; Improve customer satisfaction; Improve operational efficiency
Industry & Context.
Troubleshoot complex issues; Root cause analysis
What They're Looking For.
Must Have
Bachelor's or Master's degree equivalent experience, Hands-on experience supporting AI or cloud infrastructure, Experience with AWS services, Experience developing or supporting AI-driven applications or agents, Proficiency in Python, Bash, or equivalent, Written and verbal communication skills, Customer-facing experience
Nice to Have
AI agents development and market place deployment knowledge, Strong background in HPC infrastructure, Experience supporting semiconductor or EDA workloads, Familiarity with containers and orchestration technologies, Experience publishing applications or agents to marketplaces, Prior experience supporting hybrid or multi-cloud environments
What You'll Do.
Support AI infrastructure platforms
Debug AI infrastructure issues
Fix AI infrastructure issues
Resolve AI infrastructure issues
Act as senior technical point of contact
Partner with customers to onboard AI workloads
Optimize AI workloads
Support HPC infrastructure
Integrate AI workloads into HPC platforms
Drive guidelines for reliability
Drive guidelines for scalability
Drive guidelines for security
Drive guidelines for performance
Participate in system tuning
Collaborate with cloud teams
Collaborate with security teams
Collaborate with networking teams
Collaborate with product teams
Develop user documentation
Maintain operational runbooks
Maintain customer-facing guides
Contribute to team knowledge growth
How You'll Work.
Team & Collaboration
Internal application teams; Cloud teams; Security teams; Networking teams; Product teams
Communication Scope
Written communication; Verbal communication
Full Job Description
**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. Job Description Key Responsibilities AI Infrastructure Enablement & Customer Support * Support AI infrastructure platforms used for semiconductor and HPC workloads, including **Claude-enabled services via AWS Bedrock**. * Debug, identify and fix, and resolve complex issues related to AI model access, performance, integration, and reliability. * Act as a senior technical point of contact for internal and external customers adopting AI solutions. * Partner with customers and internal application teams to onboard, enable, and optimize AI workloads. * AI agents development and market place deployment knowledge is a plus. HPC Infrastructure Support * Support Micron’s **HPC infrastructure** , including compute, storage, networking, and scheduling environments. * Assist in integrating AI workloads into traditional HPC platforms and workflows. * Drive guidelines for reliability, scalability, security, and performance across AI and HPC systems. * Participate in system tuning, root cause analysis, and continuous improvement initiatives. Collaboration & Documentation * Collaborate with cloud, security, networking, and product teams to deliver compliant and adaptable AI systems. * Develop and maintain user documentation, operational runbooks, and customer-facing guides. * Mentor engineers early in their careers and contribute to team knowledge growth. Required Qualifications * Bachelor’s degree or Master’s degree equivalent experience in Computer Science, Engineering, or related subject area. * Hands-on experience supporting **AI or cloud infrastructure** in production environments. * Experience with **AWS services** , including exposure to managed AI platforms such as **AWS
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