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Key skills for this role
Primary responsibilities will include building and operating AI/HPC infrastructure for new and existing customers.
Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.
Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
Maintain services once they are live by measuring and monitoring availability, latency, and overall system health with an emphasis on services performance and availability optimisations to meet requirements and SLAs.
Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
At least 5+ years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.
Proficiency in configuring, testing, validating, and resolving issues in LAN networks, especially in medium to large-scale HPC/AI environments.
Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols.
Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.
Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python.
Ability to develop CI/CD pipelines for network operations.
Strong focus on customer needs and satisfaction.
Self-motivated with leadership skills to work collaboratively with customers and internal teams.
Strong written, verbal, and listening skills in English are essential.
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Experience with NVIDIA Spectrum networking in large scale deployments
Familiarity with cloud networks (AWS, GCP, Azure) is a plus.
Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments.
Experience with High-performance computing architectures. Understanding of Kubernetes and container based microservices and how job schedulers (Slurm, PBS) work.
Cluster management technologies knowledge (bonus credit for BCM (Base Command Manager) and or Run.AI.) as well as experience with GPU-focused hardware and software (e.g., NVIDIA DGX, CUDA, Network/GPU Operator).
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Computing platform company for AI and accelerated graphics.
Visit company websiteJobs and hiring trendsFull-time
Senior · 5+ years experience
Remote
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