
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.
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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.
• Investigate and resolve complex issues involving NVIDIA Ethernet networking, Linux systems, servers, and large-scale AI infrastructure, including NVIDIA Spectrum-X end-to-end solutions. • Own critical customer issues from initial response through resolution. • Coordinate cross-functional teams and provide clear, timely communication to customers and leadership. • Reproduce customer problems, analyze diagnostic data, identify root causes, and resolve installation, operation, maintenance, performance, and multivendor interoperability issues. • Advise enterprise, cloud, and service-provider customers through telephone, email, and conference-based support engagements. • Partner with Engineering and Product teams to translate field findings into product improvements, support tools, technical documentation, and troubleshooting methodologies. • Provide technical leadership during high-severity incidents while managing priorities, risks, and customer expectations. • Improve support effectiveness through automation, knowledge sharing, structured debugging practices, and agentic AI tools.
• 5+ years of experience providing in-depth technical support and debugging for networking, hardware, software, or enterprise infrastructure products. • Deep knowledge of Ethernet and data center networking, including TCP/IP, Layer 2 and Layer 3 technologies, ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF, routing, and switching. • Proven experience troubleshooting complex network issues using tcpdump, Wireshark, packet generators, telemetry, and log-analysis tools. • Strong Linux system administration and networking skills, including diagnosing server, operating-system, driver, hardware, and performance issues. • Excellent customer-facing, written, verbal, and presentation skills. • Ability to explain complex technical issues, manage expectations, and build trust with customers and executives. • Ability to lead high-severity customer situations, coordinate multiple technical teams, make sound decisions under pressure, and drive issues to timely resolution. • Strong analytical, organizational, and prioritization skills; ability to work independently and manage multiple complex issues. • Practical experience using agentic AI technologies such as Claude, Codex, or Cursor. • Hands-on experience with AI infrastructure and at least two of: data centers, distributed systems, accelerated servers, virtualization, deep learning frameworks, Docker, Kubernetes, or high-performance computing. • Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Networking, or a related discipline, or equivalent practical experience.
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