Senior AI Solutions Architect — GPU Cloud & ML

NVIDIA Corporation; Seattle (WA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking a seasoned Solution Architect to lead technical engagements across customers and partners. You will craft scalable GPU cloud solutions, guide multi-disciplinary teams, and deliver deep technical content to advance NVIDIA platforms and frameworks.

Ideal candidates have 6+ years in solution engineering with strong Python and DL framework skills, plus hands-on experience with large clusters and cloud architectures. Travel up to 40% is expected.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience.
• 6+ years of Solution Engineering or similar roles with partner/customer engagement.
• Hands-on experience with large-scale cluster environments and distributed cloud architectures.
• Strong programming fundamentals with Python and DL frameworks (PyTorch, TensorFlow).
• Experience tuning and deploying models, integrating software stacks and GPUs.
• Ability to own multi-disciplinary technical engagements across the customer lifecycle.
• Excellent time management, presentation, and collaboration skills.
• Self-starter with growth mindset and willingness to share insights.

Responsibilities

• Collaborate with NVIDIA Cloud Partners to deliver hardware and software solutions.
• Partner with SAs, Account Managers, Engineering, and Product leaders to align strategies and opportunities.
• Be the primary technical driver during design, build, and production of GPU Cloud infra and apps across the customer lifecycle.
• Conduct regular technical customer meetings for project details, feature discussions, and debugging sessions.
• Work with customers to build and adopt NVIDIA solutions including PoCs for infrastructure, libraries, and apps.
• Prepare and deliver technical content to customers (presentations, workshops, reference architectures, tutorials, publications).
• Travel up to 40% may be required.

Skills

Solution engineering

Large-scale clusters

Distributed cloud architectures

Python

Deep learning (PyTorch)

TensorFlow

Model fine-tuning

Model deployment

Customer engagement

Time management

Presentation

Communication

Collaboration

Self-motivation

Education

Engineering/CS/Physics/Math degrees (BS/MS/PhD)

Job description

NVIDIA is seeking a seasoned Solution Architect to lead technical engagements across customers and partners. You will craft scalable GPU cloud solutions, guide multi-disciplinary teams, and deliver deep technical content to advance NVIDIA platforms and frameworks.

Ideal candidates have 6+ years in solution engineering with strong Python and DL framework skills, plus hands-on experience with large clusters and cloud architectures. Travel up to 40% is expected.