Used Tools & Technologies
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Required Skills & Competences ?
Hiring @ 3 Communication @ 6 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. You will become a trusted technical advisor, working on projects and proof-of-concepts focused on Generative AI and Large Language Models. The role works across teams, supporting Accelerated Computing and Deep Learning software and hardware platforms and collaborating with OEM partners on enterprise solutions.
Responsibilities
- Collaborate with NVIDIA's OEM partners to define, document, and develop enterprise solutions that meet customer technical requirements and business needs using the NVIDIA software stack.
- Build custom product demonstrations and proof-of-concepts (POCs) addressing customers' critical business needs.
- Train channel technologists on joint AI solution offerings from NVIDIA and OEM partners.
- Act as a key member of the OEM team and serve 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 theory and practice of AI workloads and hardware deployments.
- Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design.
- Familiarity with parallel programming and distributed computing platforms.
- Experience with large-scale cluster bring-up and operation and building large-scale hardware solutions for enterprise computing workloads.
- Strong interpersonal and communication skills with ability to explain complex technical topics to non-experts.
Ways To Stand Out
- Experience with NVIDIA GPUs and software libraries such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, and TensorRT-LLM.
- Demonstrated experience deploying and optimizing Large Language Models and generative AI systems on GPU-based infrastructure.
Compensation & Benefits
- Base salary ranges provided by level:
- 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 17, 2025.
- NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.