Senior HPC AI Cluster Architect
hace 1 mes
NVIDIA is seeking an experienced HPC Engineer to join the E2E software verification HPC/AI Infrastructure team.
We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. As a key player in the most exciting computing hardware and software, you will contribute to the latest breakthroughs in artificial intelligence and GPU computing.
Key Responsibilities:
- Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs.
- Work with the latest Accelerated computing and Deep Learning software and hardware platforms.
- Interact with HPC, OS, GPU compute, and systems specialists to architect, develop, and bring up large-scale performance platforms.
Requirements:
- A degree in Computer Science, Engineering, or a related field and 5+ years of experience.
- Knowledge of HPC and AI solution technologies from CPUs and GPUs to high-speed interconnects and supporting software.
- Experience with job scheduling workloads and orchestration tools such as Slurm, K8s.
Preferred Qualifications:
- Knowledge of CPU and/or GPU architecture.
- Knowledge of Kubernetes and container-related microservice technologies.
- Experience with GPU-focused hardware/software (DGX, Cuda).
NVIDIA is an equal opportunity employer and values diversity at our company.
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