Senior HPC AI Cluster Engineer

🕒 August 20

🏄 California – Remote

🏄 California – Remote

💵 $176k - $333.5k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Design, implement, and maintain large-scale HPC/AI clusters with monitoring, logging, and alerting • Manage Linux job/workload schedules and orchestration tools • Develop and maintain continuous integration and delivery pipelines • Develop tooling to automate deployment and management of large-scale infrastructure environments • Automate operational monitoring and alerting and enable self-service consumption of resources • Deploy monitoring solutions for servers, network, and storage • Troubleshoot from bare metal through the operating system, software stack, and application level • Develop, redefine, and document standard methodologies for internal teams • Support Research & Development activities and engage in POCs/POVs for future improvements • Interact with HPC, OS, GPU compute, and systems specialists to architect, develop, and bring up large-scale performance platforms • Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs • Work with accelerated computing and deep learning software and hardware platforms, researchers, developers, and customers to improve workflows and develop differentiated solutions

🎯 Requirements

• A degree in Computer Science, Engineering, or a related field (or equivalent experience) • 8+ 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 and Kubernetes • Excellent knowledge of Windows and Linux (Red Hat/CentOS and Ubuntu) networking and internals, ACLs, OS-level security protection, and common protocols such as TCP, DHCP, and DNS • Experience with storage solutions such as Lustre, GPFS, and Weka.io • Familiarity with newer and emerging storage technologies • Python programming and Bash scripting experience • Experience with automation and configuration management tools such as Jenkins, Ansible, Puppet, and Chef • Deep knowledge of networking protocols such as InfiniBand and Ethernet • Deep understanding and experience with virtual systems such as VMware, Hyper-V, KVM, or Citrix • Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud • Knowledge of CPU and/or GPU architecture • Knowledge of Kubernetes and container-related microservice technologies • Experience with GPU-focused hardware/software such as DGX and CUDA • Experience with RDMA (InfiniBand or RoCE) fabrics

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity