Senior Solutions Architect, Industry Customer Success And Partnership – NVIS

at Nvidia
📍 United States
USD 148,000-276,000 per year
SENIOR
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 4 Kubernetes @ 4 Linux @ 6 DevOps @ 4 Python @ 4 MLOps @ 4 Data Science @ 7 Mathematics @ 7 Networking @ 4 Parallel Programming @ 6 Product Management @ 4 CUDA @ 4 GPU @ 4

Details

NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, they have been at the forefront of research and engineering around the greatest advances in technology, solving the world's hardest problems.

Responsibilities

  • Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in AI and cloud solutions.
  • Identify and pursue new business opportunities for NVIDIA products and technology solutions in datacenters and AI applications alongside Engineering, Product Management, and Sales.
  • Serve as a technical specialist for GPU and networking products, working closely with sales and customer engineers, management, and architects.
  • Conduct technical customer meetings discussing project/product roadmaps and introduce new technology solutions.
  • Develop custom product demonstrations and Proof of Concepts (POCs) addressing critical business needs to support sales.
  • Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals.

Requirements

  • BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or Engineering with at least 8 years of experience in networking fundamentals, TCP/IP stack, and data center architecture.
  • 8+ years of Solution Architect or similar Sales Engineering experience, with motivation and skills to drive technical pre-sales.
  • Deep expertise in datacenter engineering, GPUs, networking, network topologies, server and storage architecture.
  • Proficiency in system-level aspects including Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture.
  • Expertise in cloud orchestration software and job schedulers such as Kubernetes, Docker Swarm, Slurm.
  • Familiarity with cloud-native technologies and their integration with traditional infrastructure.

Ways to Stand Out

  • Knowledge of InfiniBand and AI infrastructure.
  • Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (DPU, RoCE, InfiniBand), ARM CPU solutions.
  • Proficiency in C/C++, parallel programming, and GPU development.
  • Knowledge of DevOps/MLOps tech like Docker/containers, Kubernetes, data center compute/network/storage deployments.
  • Large scale systems management experience.
  • Experience with Python programming and AI workflow development and deployment.

Benefits

  • Base salary range: 148,000 USD - 276,000 USD, based on location, experience, and pay parity.
  • Eligibility for equity and benefits.
  • Commitment to diversity and equal opportunity employment.