Solutions Architect, Agentic AI

at Nvidia

📍 Santa Clara, United States

$148,000-230,000 per year

MIDDLE SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 6 Algorithms @ 3 Communication @ 3 Mathematics @ 3 Debugging @ 6 LLM @ 3

Details

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 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, work on exciting projects and deploy AI solutions in production with Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on innovative AI optimization techniques, operating at the intersection of algorithms and systems. You should be comfortable working in a dynamic environment, and have experience with Deep Learning (DL), LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!

Responsibilities

  • 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 for Agentic AI systems.
  • Working closely with customers to help them adopt and build solutions using NVIDIA technology.
  • Design and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use cases.
  • Some travel to conferences and customers may be required.

Requirements

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
  • 5+ years of hands-on experience in DL and DL systems design.
  • Strong fundamentals in programming, optimizations and software design, especially in Python.
  • Strong problem-solving and debugging skills.
  • Excellent knowledge of theory and practice of DL and Generative Models.
  • Excellent presentation, communication and collaboration skills.
  • Desire to be involved in multiple diverse and creative projects.

Ways to stand out from the crowd:

  • Prior experience with agentic LLM frameworks such as Langchain and LLamaIndex.
  • 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 computer architecture and AI algorithms development.