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, Artificial Intelligence, Data Center InfrastructureIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Electrical/Computer Engineering, Computer Science, Physics, or a related field, or equivalent practical experience. A minimum of 8 years of experience in Systems/Solution Engineering or a similar engineering role is required, along with system-level expertise in CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers. Experience with networking switches for Ethernet/Infiniband and Data Center infrastructure (power/cooling) is also necessary. Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes is desired.
Responsibilities
The Senior Solutions Architect & Engineer will work with NVIDIA’s AI Native, Consumer Internet, and Enterprise customers to drive the deployment of end-to-end technology solutions for data center GPU server and networking systems. This includes guiding customer discussions on network design, compute/storage, and supporting server/network/cluster deployments, often requiring on-site visits during the bring-up phase. The role involves demonstrating subject matter expertise, bringing customer-specific requirements to product teams, identifying new project opportunities, and collaborating closely with various NVIDIA teams to build custom product demonstrations and POCs. The position also entails analyzing and debugging compute/network configuration and performance issues to deliver performant clusters, and conducting regular technical customer meetings for product roadmap discussions, cluster issue debugging, and introducing new technology solutions. Occasional travel (approximately 20%) is required for customer visits and industry events.
Skills
GPU systems
Network systems
Data center deployment
Cluster configuration
Performance debugging
Customer engagement
Solution architecture
AI hardware/software
Product demonstration
Technical advising
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