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Senior Solutions Architect, Networking Ethernet - NVIS

Nvidia

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What networking roles keep asking for: Python (32%), Linux (29%), C++ (23%), AWS (18%), System design (17%), Kubernetes (13%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Linux? Tell me one thing you learned the hard way.
  3. Walk me through how code gets from a commit to production where you work.
  4. Tell me about an outage you handled. What did you learn from it?
  5. How do you decide what to monitor, and what should wake someone up at night?

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NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: Primary responsibilities will include building 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. Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: 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 and InfiniBand 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. Willingness to travel, around 30% Ways to stand out from the crowd: Familiarity with cloud networks (AWS, GCP, Azure) is a plus. Linux or Networking Certifications. Experience with High-performance computing architectures. Understanding of how job schedulers(Slurm, PBS) work. luster management technologies knowledge (bonus credit for BCM (Base Command Manager).) Experience with GPU (Graphics Processing Unit) focused hardware/software. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Listed on workday · posted 2026-09-07. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.