Staff Engineer, Systems HPC

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 Bedrock.
• Demonstrated ability to troubleshoot and resolve complex infrastructure and application issues.
• Experience developing or supporting AI-driven applications or agents.
• Proficiency in scripting or programming (Python, Bash, or equivalent).
• Strong written and verbal communication skills, with customer-facing experience.

Preferred Qualifications

• Strong background in HPC infrastructure, including:
  • HPC schedulers (LSF, Slurm, or similar)
  • Parallel file systems and high-speed interconnects
• Experience supporting semiconductor or EDA workloads.
• Familiarity with containers and orchestration technologies (Docker, Kubernetes) in HPC or AI environments.
• Experience publishing applications or agents to internal or external marketplaces.
• Prior experience supporting hybrid or multi-cloud environments.

Expected Impact

• Enable reliable and scalable AI infrastructure adoption across Micron and its customers.
• Reduce time-to-resolution for AI and HPC-related issues.
• Drive adoption of AI agents that accelerate semiconductor and HPC workflows.
• Improve customer satisfaction and operational efficiency through proactive enablement and support.