13 дней назад
HPC Linux Systems Engineer
136 300 - 199 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
HPC Linux Systems Engineer (Kubernetes/HPC): Architecting, deploying, and supporting scalable Kubernetes environments on Linux-based HPC platforms for semiconductor inspection systems with an accent on infrastructure performance, networking, storage, and reliability. Focus on designing GPU-enabled compute clusters, automating provisioning and lifecycle management, optimizing high-bandwidth interconnects, and qualifying hardware and infrastructure releases.
Location: Milpitas, California, United States
Base pay: $136,300–$199,900 annually.
Company
Develops semiconductor inspection tools, metrology systems, process solutions, and computational analytics for chip manufacturing.
What you will do
- Architect, deploy, and support Kubernetes clusters on enterprise Linux platforms across HPC environments.
- Design and optimize scalable Linux compute infrastructure with a focus on performance, reliability, availability, and automation.
- Lead networking architecture and troubleshooting across servers, switches, storage systems, and Kubernetes environments.
- Support CPU- and GPU-based HPC clusters, scalable storage architectures, and high-bandwidth interconnects.
- Automate infrastructure provisioning and lifecycle management using scripting and configuration management tools.
- Collaborate with hardware vendors on solution definition, validation, qualification, release, and deployment.
Requirements
- Deep experience administering and troubleshooting Red Hat, Rocky Linux, Ubuntu, and SUSE environments.
- Production experience designing, deploying, and maintaining Kubernetes clusters.
- Strong knowledge of TCP/IP, DNS, DHCP, HTTP, LDAP, SMTP, routing, switching, and network troubleshooting.
- Experience with HPC architectures, GPU platforms, storage systems, BIOS/BMC technologies, SystemD, PXE/NetBoot, and Linux High Availability.
- Proficiency in Shell and Python scripting, Infrastructure as Code, and configuration management tools such as Ansible, Salt, Chef, or Puppet.
- Bachelor’s degree with 5 years of related experience, Master’s degree with 3 years, or Doctorate with 0 years of related experience.
Nice to have
- Experience supporting Kubernetes platforms for HPC, AI/ML, or GPU-intensive workloads.
- Familiarity with cloud-based compute architectures and hybrid infrastructure.
- Experience optimizing networking and storage for large-scale distributed compute systems.
Culture & Benefits
- Medical, dental, vision, life, and other voluntary benefits.
- 401(k) with company matching and employee stock purchase program.
- Tuition reimbursement, student debt assistance, financial planning, wellness, and career development programs.
- Paid time off, company holidays, and family care and bonding leave.
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