
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.
🕒 March 31
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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.
• Building and operating AI/HPC infrastructure for new and existing customers. • Supporting operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting. • Engaging in and improving the whole lifecycle of services—from inception and design through deployment, operation, and refinement. • Maintaining 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. • Providing 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.
• NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
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