About the role
NVIDIA is looking for Senior Solution Architect, Networking and compute Infrastructure 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 centres. 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 analyse, 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.
Develop tooling to automate and manage of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
Deploy monitoring solutions for the servers, network and storage.
Perform troubleshooting bottom up from bare metal, operating system, software stack and application level.
Being a technical resource, develop, re-define and document standard methodologies to share with customer and internal teams Support activities and engage in POCs/POVs for future improvements.
Experience with system administration on Linux systems required (CentOS, RHEL, and Ubuntu preferred)
What We Need to See:
BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 5+ years’ work or research experience in networking fundamentals, TCP/IP stack, and data centre compute architecture.
Advance knowledge of HPC, AI & EVPN, BGP, OSPF, VXLAN protocols.
Deep understanding of DC architecture fundamentals such as compute, storage (PFS) & InfiniBand, Ethernet, NVLink.
Experience running HPC performance benchmarks, cluster health checks, and profiling tools to identify infrastructure bottlenecks.
Python programming, bash scripting experience and Advance Linux knowledge.
Extensive experience delivering automated network provisioning and comfortable with automation and configuration management tools including Jenkins, Ansible, Puppet. Chef, etc.
Possess solid working knowledge of Ethernet/InfiniBand/RDMA core principles.
Excellent customer-facing and communication skills (verbal and written in both languages), enabling effective engagement with customers, partners, and cross-functional teams across the India region. Listening skills in English are critical.
Willingness to travel
Ways To Stand Out from The Crowd:
Knowledge of CPU and/or GPU architecture including of Kubernetes, container related microservice technologies.
Background with RDMA (InfiniBand or RoCE) fabrics.
Linux or Networking Certifications (e.g., CCNP, CCIE) or NVIDIA-related certifications.
Deep Knowledge on observability stack and build experience.
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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