HPC Cluster Admin Contractor (GPU/AI)
GenmoSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors & Hardware, High Performance Computing, Artificial IntelligenceIndustries
Requirements
The ideal candidate should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience, and have at least 5 years of experience in HPC and AI solution technologies, including knowledge of CPU’s and GPU’s, high-speed interconnects, and supporting software. Strong expertise in Linux (Redhat/CentOS and Ubuntu) networking, including sockets, firewalls, iptables, wireshark, and OS-level security, is required, along with experience with Windows networking and protocols such as TCP, DHCP, and DNS. Familiarity with multiple storage solutions like Lustre, GPFS, zfs, and xfs is also necessary, as is Python programming and bash scripting experience. Comfort with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef is expected, and experience with virtual systems like VMware, Hyper-V, KVM, or Citrix is desired.
Responsibilities
This Senior HPC AI Cluster Engineer will be responsible for designing, implementing, and maintaining large-scale HPC/AI clusters, managing Linux job/workload schedules and orchestration tools, developing and maintaining continuous integration and delivery pipelines, and deploying monitoring solutions for servers, network, and storage. They will troubleshoot and fix issues at various levels, from bare metal to application, and serve as a technical resource, developing methodologies for internal teams. The role also involves supporting research and development activities, engaging in POCs/POVs, and working with scientific researchers, developers, and customers to improve workflows and develop differentiated solutions. Furthermore, the engineer will automate deployment and management, enabling self-service resource consumption, and interacting with HPC, OS, GPU compute, and systems specialists to architect and develop performance platforms.
Skills
HPC
AI Clusters
Linux
Job Scheduling
Orchestration Tools
CI/CD Pipelines
Automation
Monitoring
Troubleshooting
Performance Tuning
System Design
Deep Learning
GPU Computing
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Key Metrics
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees