Used Tools & Technologies
Not specified
Required Skills & Competences ?
Mathematics @ 3 Networking @ 3 Parallel Programming @ 2 Debugging @ 3 LLM @ 3 GPU @ 3Details
NVIDIA is seeking outstanding Solutions Architects to assist and support customers who are building solutions with our newest AI technology. Solutions Architects at NVIDIA work across teams helping customers with Accelerated Computing and Deep Learning software and hardware platforms. You will act as a trusted technical advisor and work on projects and proof-of-concepts focused on Generative AI and Large Language Models (LLMs). The role requires comfort in multifaceted environments and experience with Generative AI, LLMs, Deep Learning, and GPU technologies. Some travel to conferences and customers may be required.
Responsibilities
- Collaborate with NVIDIA's OEM partners to define, document, and develop enterprise solutions that meet customer technical requirements and address business needs.
- Build custom product demonstrations and proof-of-concepts (POCs) for solutions addressing critical customer business needs.
- Train channel technologists on joint AI solution offerings from NVIDIA and OEM partners.
- Serve as a key member of the OEM team as a technical authority on NVIDIA products.
- Travel to conferences and customer sites as needed.
Requirements
- 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 solutions architect or in a technical presales role.
- Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions.
- Expert knowledge of the theory and practice of AI workloads and hardware 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
- Experience with NVIDIA GPUs and NVIDIA software libraries such as NVIDIA NIM, NVIDIA NeMo Framework, Triton Inference Server, TensorRT, and 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 hardware solutions for enterprise computing workloads.
Compensation & Benefits
- Base salary ranges (determined by location, experience, and comparable pay):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and company benefits.
Additional Information
- Applications accepted at least until October 19, 2025.
- NVIDIA is an equal opportunity employer and values diversity in its workforce.