Software Intern (hpc Infrastructure)

KLA

Milpitas, CA, United States
Base: $30.00 - $38.00 ph; bonus/equity: not specif...
Distributed applications deployment
Kubernetes container orchestration
Linux system programming
Join KLA as a Software Engineering Intern and collaborate closely with your mentor and team to develop and optimize the deployment of distributed applications for image processing and AI workloads in our High-Performance Computing (HPC) systems

Job Summary

  • Join KLA as a Software Engineering Intern and collaborate closely with your mentor and team to develop and optimize the deployment of distributed applications for image processing and AI workloads in our High-Performance Computing (HPC) systems.
  • Gain hands-on experience in a cutting-edge technology environment and work with a supportive team dedicated to your growth and success.
  • KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, investing 15% of sales back into R&D to advance innovation.

Matching Summary

Join KLA as a Software Engineering Intern and collaborate closely with your mentor and team to develop and optimize the deployment of distributed applications for image processing and AI workloads in our High-Performance Computing (HPC) systems.

Salary

Base: $30.00 - $38.00 per hour; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, life, 401(K) matching, ESPP, student debt assistance, tuition reimbursement, paid time off, and more

Skills & Requirements

Must-have

  • Distributed applications deployment
  • Kubernetes container orchestration
  • Linux system programming
  • Java object-oriented programming
  • Docker containerization
  • Prometheus and Grafana visualization

Nice-to-have

  • Knowledge of computer hardware components
  • Understanding of OS scheduling and virtualization
  • Network stack knowledge
  • Ability to work with C and C++ code
  • Collaborative team environment
  • Innovation-driven culture

Key Requirements

  • Master's level student
  • Knowledge of Docker and Kubernetes
  • Proficiency in Linux and Java programming
  • Experience with container metrics and tracing
  • Ability to understand C and C++ build scripts

Work Rights

Not specified

Tailored Resume

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