Senior HPC Infrastructure Architect

ASML

San Jose (CA)

On-site

USD 148,000 - 222,000

Full time

8 days ago

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Basic life insurance
401(k) plan
Paid vacation

Job summary

ASML in San Jose, CA, is seeking an experienced engineer to develop and maintain HPC infrastructure supporting scalable workloads across products. You will design compute clusters, storage, and networking, and drive production-ready platforms with strong reliability and performance.

The role emphasizes container orchestration, Kubernetes, and hybrid on-prem/cloud deployments, plus system observability and tuning to improve throughput and resource efficiency.

Qualifications

  • Strong programming in C++, Python, or Go.
  • Experience with HPC or distributed infrastructure (cluster, storage, networking).
  • Proficient with Kubernetes/container ecosystem and resource orchestration.
  • Ability to perform performance tuning across CPU, memory, IO, and network.
  • Strong systems-level debugging and root-cause analysis skills.

Responsibilities

  • Design and evolve HPC infrastructure (compute clusters, storage, networking).
  • Deliver stable, scalable, and production-ready infrastructure platforms.
  • Improve system throughput, utilization, and reliability.
  • Build capabilities for resource management, scheduling, and isolation.
  • Enable containerization and hybrid cloud/on-prem deployments.

Skills

C++/Python/Go
HPC or distributed infra
Kubernetes/container ecosystem
Performance tuning
Systems-level debugging

Tools

Kubernetes

Job description

ASML in San Jose, CA, is seeking an experienced engineer to develop and maintain HPC infrastructure supporting scalable workloads across products. You will design compute clusters, storage, and networking, and drive production-ready platforms with strong reliability and performance.

The role emphasizes container orchestration, Kubernetes, and hybrid on-prem/cloud deployments, plus system observability and tuning to improve throughput and resource efficiency.

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