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
Information Technology, Artificial Intelligence, High Performance ComputingIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field, and at least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture. Extensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments is required, along with familiarity with Windows and Linux systems (Redhat/CentOS and Ubuntu).
Responsibilities
The Senior Cloud Infrastructure/DevOps Solutions Architect will maintain large-scale HPC/AI clusters with monitoring, logging, and alerting, manage Linux job/workload schedulers and orchestration tools, develop and maintain continuous integration and delivery pipelines, develop tooling to automate deployment and management of large-scale infrastructure environments, deploy monitoring solutions for servers, network, and storage, perform troubleshooting bottom up from bare metal, operating system, software stack, and application level, support Research & Development activities, and engage in POCs/POVs for future improvements. This role will also involve interacting with customers, partners, and internal teams to analyze, define, and implement large-scale Networking projects, and being the face to the customer.
Skills
Networking fundamentals
TCP/IP stack
Data center architecture
Kubernetes
Container orchestration
AI/ML workloads
Resource scheduling
Scaling
HPC environments
CPUs
GPUs
High-speed interconnects
Linux
Windows
Redhat
CentOS
Ubuntu
ACLs
OS security
TCP
DHCP
DNS
Lustre
GPFS
ZFS
XFS
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