Senior Solutions Architect, AI Infrastructure

at Nvidia
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Linux @ 4 Python @ 6 Communication @ 7 Networking @ 4 API @ 4 Customer Support @ 7 GPU @ 4

Details

We are seeking a Senior Solutions Architect to join NVIDIA's AI Infrastructure team. You will help introduce NVIDIA GPU products into customer deployments — from data centers to edge computing — and play a key role in system design, customer engagement, and scaling high-performance distributed AI infrastructure.

Responsibilities

  • Architect and scale high-performance, distributed AI infrastructure on-premises or in the cloud using NVIDIA GPU supercomputers.
  • Act as a technical specialist on GPU and networking products, supporting sales account managers to secure design wins.
  • Establish and nurture technical relationships with customer engineers, management, and architects.
  • Identify customer architectures and key product requirements in the CSP/OEM AI market to implement NVIDIA solutions successfully.
  • Provide onsite support to diagnose and solve hardware and software problems, with focus on deep learning inference.
  • Lead product lifecycle activities from design-in to end-of-life, ensuring execution and customer satisfaction.
  • Develop technical solutions including hardware & software demos and example system designs.
  • Provide technical and sales training to direct sales teams and channel partners.

Requirements

  • BS or MS in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.
  • 8+ years of experience in the high-tech electronics industry, especially in system design or technical customer support roles.
  • Strong system design and analytical/problem-solving skills.
  • Experience working in dynamic, rapidly changing environments and managing multiple initiatives/priorities.
  • Excellent written and oral communication skills in English and strong interpersonal skills for coordinating complex projects and collaborating with management and engineering teams.
  • Ability to provide onsite customer support and engage directly with customers on technical topics.

Ways to stand out

  • Experience with ARM and NVIDIA GPU development.
  • Proficiency in C/C++ and Python.
  • Knowledge of Embedded Linux systems, APIs, and similar embedded OS.
  • Practical knowledge of NVIDIA systems technologies such as NCCL, DCGM, and UFM.
  • Experience working with OEMs in industrial, military, or ruggedized computing spaces.

Compensation & Benefits

  • Base salary ranges by level (determined by location and experience):
    • Level 4: 184,000 USD - 287,500 USD
    • Level 5: 224,000 USD - 356,500 USD
  • Eligible for equity and benefits (see https://www.nvidia.com/en-us/benefits/).

Additional information

  • Applications accepted at least until October 30, 2025.
  • NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.