Senior Solutions Architect, OEM AI

Posted 13 Days Ago
Be an Early Applicant
2 Locations
Remote
184K-357K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Solutions Architect will define and develop enterprise solutions, build demonstrations, train partners, and work with teams on innovative AI projects.
Summary Generated by Built In

NVIDIA is seeking outstanding Solutions Architects to help grow our OEM enterprise AI business. At NVIDIA, our solutions architects work across different teams and enjoy helping partners and customers with the latest Accelerated Computing and Generative AI, and AI Factory deployments. 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 OEM partners and work on exciting projects and proof-of-concepts which are focused on Generative AI and Large Language Models solutions. 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.

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

  • Training our partners the latest enterprise AI solution offerings from NVIDIA.

  • 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

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

  • Strong 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

  • Background 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

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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
Parallel Programming
Tensorrt
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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.”

Similar Jobs

Remote
2 Locations
442 Employees
85K-115K Annually

Voltage Park Logo Voltage Park

Software Engineer, Kubernetes & Virtualization Platform

Artificial Intelligence • Cloud • Hardware • Machine Learning • Other • Software • Infrastructure as a Service (IaaS)
Remote
2 Locations
51 Employees
120K-180K Annually

Iodine Software Logo Iodine Software

Senior Full Stack Software Engineer - Web Development

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software
Remote
USA
250 Employees
135K-175K Annually

IMO Health Logo IMO Health

Staff Data Engineer

Artificial Intelligence • Healthtech • Information Technology • Natural Language Processing • Software • Analytics • Generative AI
Remote
Hybrid
3 Locations
320 Employees

Similar Companies Hiring

True Anomaly Thumbnail
Software • Machine Learning • Hardware • Defense • Artificial Intelligence • Aerospace
Colorado Springs, CO
131 Employees
Caliola Engineering Thumbnail
Software • Machine Learning • Hardware • Defense • Data Privacy • App development • Aerospace
Colorado Springs, CO
53 Employees
Red 6 Thumbnail
Virtual Reality • Software • Hardware • Defense • Aerospace
Orlando, Florida
113 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account