Solutions Architect, AI Networking and Storage

Posted Yesterday
Be an Early Applicant
3 Locations
In-Office or Remote
184K-357K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Solutions Architect will assist customers in using NVIDIA's AI technology, develop solutions for AI storage and networking, and train technologists.
Summary Generated by Built In

NVIDIA is seeking outstanding Solutions Architects to assist and support customers who 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 and work on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models. You should be comfortable working in a multifaceted environment and have experience with Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA!
 

What You Will Be Doing:

  • Collaborate with NVIDIAs OEM partners to define, document, and develop enterprise solutions that meet customer technical requirements and address business needs for AI storage and networking solutions.

  • Building custom product demonstrations and POCs for solutions that address the critical business needs of our customers

  • Training channel technologists on joint AI solution offerings from NVIDIA and OEM partners.

  • Work as a key member of our OEM team as a technical authority on NVIDIA products

  • 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 proven experience as a solution architect or technical presales role

  • Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions

  • Expert knowledge of theory and practice of AI workloads and HW deployments

  • Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts

  • 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 NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM

  • Experience with large-scale cluster bring-up and operation.

  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

  • Familiarity with parallel programming and distributed computing platforms

  • Experience building large-scale HW solutions for Enterprise computing workloads

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 people in the world working for us. If you are creative and autonomous, we want to hear from you!

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 October 17, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Arm Architectures
C/C++
Deep Learning
Generative Ai
Gpu Technologies
Intel X86
Large Language Models
Nvidia Nemo Framework
Nvidia Nim
Nvidia Triton Inference Server
Tensorrt
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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