Used Tools & Technologies
Not specified
Required Skills & Competences ?
Communication @ 3 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 to help customers adopt Accelerated Computing and Deep Learning software and hardware platforms. This role will act as a trusted technical advisor, working on projects and proof-of-concepts focused on Generative AI and Large Language Models, and will engage with OEM partners and customers to define and develop enterprise AI solutions. 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 that address customers' critical 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).
- 5+ 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.
- Comfortable with Generative AI, Large Language Models (LLMs), and Deep Learning.
- Excellent interpersonal and communication skills, including the ability to explain complex technical topics to non-experts.
- Desire to be involved in multiple diverse and creative projects.
Preferred / Ways To Stand Out
- Experience with NVIDIA GPUs and NVIDIA software libraries (NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, 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 range (Level 3): 152,000 USD - 218,500 USD.
- Base salary range (Level 4): 184,000 USD - 287,500 USD.
- You will also be eligible for equity and benefits (see NVIDIA benefits page).
Additional Information
- Applications for this job will be accepted at least until January 17, 2026.
- This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.