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About the Role

NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure. Drive outtake and consumption by integrating libraries, frameworks, models, and software applications. Deliver GenAI, AI, and ML hardware/software to production with the most consequential customers and partners, supporting partners building next-gen GPU platforms. Own end-to-end technology solution integration with strategic customers and offer product strategy recommendations based on feedback. Profiles should be comfortable in a dynamic environment with experience in Deep Learning, LLMs, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

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.

Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
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.

Skills

Deep Learning
LLMs
GPU technologies
Python
PyTorch
TensorFlow
NVIDIA GPUs
NVIDIA software libraries
NVIDIA frameworks
NVIDIA foundation models
NVIDIA Nemotron
NVIDIA NeMo Framework
NVIDIA Dynamo
NeMo Retriever
NVIDIA Triton Inference Server
TensorRT
TensorRT-LLM
NVIDIA CUDA-X
AWS
Azure
GCP
NCCL
DCGM
UFM
Mission Control
Base Command Manager
Large-scale AI model training / deployment
GPU systems
Performance testing
AI benchmarking
MLOps
Cluster orchestration
SLURM
K8s
Orchestrator
Load balancing
Cloud architecture
Enterprise developers

Location

Remote

Work Type

Full-time

Experience Level

10+ years

Education Level

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.

Salary/Compensations

184,000 USD - 287,500 USD

Benefits

Equity

About the Company

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing–an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
We have some of the forward-thinking and hardworking people in the world working for us.
If you're creative and autonomous, we want to hear from you!
NVIDIA pioneered accelerated computing.
Today, our AI infrastructure powers global intelligence, transforming every industry.
Learn more about NVIDIA.

Equal Opportunity

NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.