NVIDIA is seeking outstanding Solutions Architects to assist and support customers who are building solutions with our newest AI technology, specifically addressing business needs and technical requirements of customers using NVIDIA's Accelerated Computing and Deep Learning software and hardware platforms.
Requirements
- Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions
- Expert knowledge of theory and practice of AI workloads and HW deployments
- Experience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, 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
- Experience building large-scale HW solutions for Enterprise computing workloads
- Experience with large-scale cluster bring-up and operation
Responsibilities
- 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 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
- Building solutions with NVIDIA's newest AI technology, including Generative AI and Large Language Models
- Working on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models
- Defining, documenting, and developing enterprise solutions that meet customer technical requirements
Other
- 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
- Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts
- Desire to be involved in multiple diverse and creative projects
- Some travel to conferences and customers may be required
