Senior AI Solutions Architect — GPU Cloud Infra

NVIDIA

California (MO)

On-site

USD 184,000 - 287,500

Full time

14 days+

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Job summary

NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure. You will drive outtake and consumption by integrating libraries, frameworks, models, and software applications, delivering GenAI, AI, and ML hardware/software to production with strategic customers and partners.

You'll own end-to-end technology solution integration with customers, working with cross-functional teams, and contributing to

Qualifications

  • 10+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
  • Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.
  • Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
  • Practical expertise fine-tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
  • Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.
  • Efficient time management and capable of balancing multiple tasks. Excellent presentation, communication and collaboration skills.
  • Self-starter with a passion for growth, continuous learning, and sharing insights.

Responsibilities

  • Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
  • Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
  • Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
  • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
  • Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
  • Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.

Skills

Python
PyTorch
TensorFlow
Cloud Architecture
MLOps

Education

BS/MS/PhD in Electrical/Computer Engineering, CS, Physics or related

Tools

NVIDIA CUDA
Kubernetes
NCCL/DCGM
SLURM
TensorRT

Job description

NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure. You will drive outtake and consumption by integrating libraries, frameworks, models, and software applications, delivering GenAI, AI, and ML hardware/software to production with strategic customers and partners.

You'll own end-to-end technology solution integration with customers, working with cross-functional teams, and contributing to

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