Student working in AI Automation and Vibe Coding at Galvanek. Building automated workflows and business - critical apps while studying.
About the role
- HPC and AI Cluster Engineer maintaining large scale HPC/AI clusters for NVIDIA's Networking clusters solutions. Engaging with researchers and developers to optimize workflows and deliver solutions.
Responsibilities
- Deploy, manage and maintain large scale HPC/AI clusters
- Managing Linux job/workload schedules and orchestration tools
- Support and maintain continuous integration and delivery pipelines
- Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level
- Supporting Research & Development activities and engaging in POCs for future improvements
Requirements
- Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience
- 3+ years of experience
- Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software
- Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
- Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
- Python programming and bash scripting experience, automation and configuration management tools such as Jenkins, Ansible, Gitops
- Experience with virtual systems (for example VMware, Hyper-V, KVM)
Benefits
- Competitive salaries
- Extensive benefits package
- Work environment that promotes diversity, inclusion, and flexibility
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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