
Solutions Architect, Networking Ethernet
Remote · USJobPosted 6mo agoSeen in employer's feed 5 days ago
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Job overview
NVIDIA is hiring a Solutions Architect, Networking Ethernet. NVIDIA is seeking a Senior Networking Solutions Architect to join its NVIDIA ANZ Team, focusing on NVIDIA Neo Clouds. This role involves working with customers, partners, and internal teams to analyze, define, implement, and operate large-scale networking projects. The architect will contribute to networking, system design, operations, and automation, serving as a key representative for NVIDIA to its customers.
Key focus areas include Build and operate AI/HPC infrastructure for new and existing customers., Support operational and reliability aspects of large-scale AI clusters., and Engage in and improve the whole lifecycle of services..
Successful candidates bring Bachelor's/Master's/PhD in CS/ECE/Physics/Math and 5+ Years Networking Experience. Important skills include Networking Fundamentals, TCP/IP Stack, Data Center Architecture, Configuring LAN Networks, Testing LAN Networks, and Validating LAN Networks. Preferred (not required): NVIDIA Spectrum Networking, Cloud Networks, AWS, and GCP.
Skills & qualifications
Skills
Qualifications
Full job description
NVIDIA is looking for Senior Networking Solutions Architect to join its NVIDIA ANZ Team with a focus on NVIDIA Neo Clouds, ideally located in Melbourne or Sydney. Government, Enterprise, Academic and research 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 Neo Clouds, customers, partners and internal teams, to analyse, define, implement and operate large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design, Operations and Automation and being the face of NVIDIA to the customers.
What you'll be doing:
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Primary responsibilities will include building and operating AI/HPC infrastructure for new and existing customers.
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Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.
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Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
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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.
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Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
What we need to see:
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BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
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At least 5+ years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.
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Proficiency in configuring, testing, validating, and resolving issues in LAN networks, especially in medium to large-scale HPC/AI environments.
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Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols.
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Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.
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Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python.
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Ability to develop CI/CD pipelines for network operations.
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Strong focus on customer needs and satisfaction.
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Self-motivated with leadership skills to work collaboratively with customers and internal teams.
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Strong written, verbal, and listening skills in English are essential.
Ways to stand out from the crowd:
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Experience with NVIDIA Spectrum networking in large scale deployments
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Familiarity with cloud networks (AWS, GCP, Azure) is a plus.
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Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments.
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Experience with High-performance computing architectures. Understanding of Kubernetes and container based microservices and how job schedulers (Slurm, PBS) work.
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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.
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