Senior Solutions Architect, Generative AI

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer facing role. Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies. We work with the world's most successful technology companies, and this role uniquely positions you to observe emerging industry trends at the cutting edge. Join us in this exciting endeavor!

What you’ll be doing:

• Collaborating closely with customers to improve their workload performance and reduce infrastructure costs.

• Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed.

• Developing and debugging software for NVIDIA and open-source AI frameworks and libraries.

• Partnering with NVIDIA’s software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback.

What we need to see:

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

• 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs.

• Experience with profiling and optimizing model training/inference performance on GPUs.

• Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels.

• Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations.

• A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing.

• Self-starter with a passion for growth, continuous learning, and sharing insights with the team.

Ways to stand out from the crowd:

• Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cuDNN/NCCL).

• Experience working with enterprise developers and strong customer-facing skills.

• Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments.

• Experience with large-scale production data pipelines and AI model training/deployment.

• Creative problem-solving skills for debugging and resolving complex issues.

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and conferences. We are open to remote work. We look forward to having you join our team!