NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the worlds hardest problems.
NVIDIA is looking for Senior Industry SA/Customer Success/Partnership 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!
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What you'll be doing:
- Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI), contributing to the advancement of our cloud solutions.
- Identify and pursue new business opportunities for NVIDIA products and technology solutions in datacenters and artificial intelligence applications, closely collaborating with Engineering, Product Management, and Sales teams.
- Serve as a technical specialist for GPU and networking products, collaborating closely with sales account managers to secure design wins and actively engaging with customer engineers, management, and architects at key accounts.
- Conduct regular technical customer meetings to discuss project and product roadmaps, features, and introduce new technology solutions.
- Develop custom product demonstrations and Proof of Concepts (POCs) addressing critical business needs, supporting sales efforts.
- Strong technical presentation skills in English, confidence in developing Proofs-of-Concept, and a customer-focused mentality, coupled with good organization skills, a logical approach to problem-solving and effective time management for handling concurrent requests.
- Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals.
- Regional travel is required for on-site visits with customers.
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 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.
- Ideal candidate possesses 8+ years of Solution Architect or similar Sales Engineering experience, demonstrating motivation and skills to drive the technical pre-sales process.
- Deep expertise in datacenter engineering, GPU, networking, including a solid understanding of network topologies, server and storage architecture.
- Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture.
- Demonstrated expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm.
- Familiarity with cloud-native technologies and their integration with traditional infrastructure is essential.
- Hands-on, adaptable problem-solver with a collaborative approach and strong ability to thrive in fast-paced, dynamic environments, working effectively with cross-functional teams to deliver innovative solutions
Ways to stand out from the crowd:
- Knowledge in InfiniBand and Artificial Intelligence infrastructure.
- Demonstrated hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, coupled with proficiency in C/C++ programming, parallel programming, and GPU development.
- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center compute/network/storage deployments.
- Large scale systems management experience.
- Experience with Python programming and AI workflow development and deployment (training/inference) would be advantageous.
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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you.
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