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
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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