Senior GPU AI Solutions Architect — GenAI & HPC
NVIDIA
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Benefits offered by this job
Job summary
NVIDIA is seeking an experienced Solutions Architect to bridge design and deployment of large-scale AI/HPC GPU infrastructure. You will drive adoption of NVIDIA GPU solutions by partnering with customers, engineers, and partners across the full lifecycle.
Ideal candidates have 10+ years in solution engineering, strong Python/DL framework skills (PyTorch, TensorFlow), and hands-on experience with clustered cloud architectures.
Qualifications
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics or related field.
- 10+ years in Solution Engineering or similar roles with partners/customers.
- Experience building large-scale cluster environments and distributed cloud architectures.
- Strong programming and deep learning framework skills (Python, PyTorch, TensorFlow).
- Proven ability to drive multi-disciplinary technical engagements and cross-functional collaboration.
Responsibilities
- Collaborate with NVIDIA Cloud Partners to deliver hardware/software solutions.
- Align strategies with SAs, Account Managers, Eng, Product, and leadership to drive opportunities.
- Lead technical design, development, deployment, and production support for GPU Cloud infrastructure.
Skills
Education
Tools
Job description
NVIDIA is seeking an experienced Solutions Architect to bridge design and deployment of large-scale AI/HPC GPU infrastructure. You will drive adoption of NVIDIA GPU solutions by partnering with customers, engineers, and partners across the full lifecycle.
Ideal candidates have 10+ years in solution engineering, strong Python/DL framework skills (PyTorch, TensorFlow), and hands-on experience with clustered cloud architectures.
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