Solutions Architect, Networking Ethernet

What You'll Do

• 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.
• 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 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.
• Ways to stand out from the crowd: 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.
• 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.