Senior Solutions Architect, Generative AI

NVIDIA

Location: US, CA, Santa Clara   |   Full-Time   |   $184,000 - $356,500

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning (DL) software and hardware platforms. We’re looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof‑of‑concepts focused on Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

What You Will Be Doing:

  • Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high‑value solutions
  • Dynamically engaging with developers, scientific researchers, data scientists, which will give you experience across a range of technical areas
  • Strategically partnering with lighthouse customers and industry‑specific solution partners targeting our computing platform
  • Working closely with customers to help them adopt and build solutions using NVIDIA technology
  • Analyze performance and power efficiency of deep learning inference workloads
  • Some travel to conferences and customers may be required

What We Need To See:

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
  • 8+ years of hands‑on experience with Deep Learning frameworks such as PyTorch and TensorFlow
  • Strong fundamentals in programming, optimizations and software design, especially in Python
  • Strong problem‑solving and debugging skills
  • Excellent knowledge of theory and practice of Large Language Models and Deep Learning inference
  • Excellent presentation, communication and collaboration skills
  • Desire to be involved in multiple diverse and creative projects

Ways To Stand Out From The Crowd:

  • Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT‑LLM
  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
  • Familiarity with parallel programming and distributed computing platforms
  • Prior experience with DL training at scale, deploying or optimizing DL inference in production

NVIDIA is widely considered one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 5, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

Company Details

Company Overview

Employees: ████████
Founded: ████
Last Round: ████████
Amount: ████████
Premium Insights

Upgrade to Silver or Gold to unlock company insights

About

NVIDIA is a leading technology company that designs and manufactures graphics processing units (GPUs) and other computing hardware. Founded in 1993, NVIDIA has become a pioneer in artificial intelligence, high-performance computing, and advanced visualization technologies. The company operates across several key sectors including data centers, gaming, automotive, and professional visualization. NVIDIA's products are used in a wide range of applications, from consumer graphics cards to high-perfo ...
Sponsored Ad

DigitalOcean

Deploy your AI App in seconds by using Fully-managed AI agents and LLM models. Get $200 in credits to get started! (*For new accounts)

Get $200 in credits →
Post Date: December 2, 2025