Senior Solutions Architect, Generative AI

Details

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. You will work with leading technology companies and observe emerging industry trends at the cutting edge.

Responsibilities

• Collaborate closely with customers to improve workload performance and reduce infrastructure costs.
• Lead and develop proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas such as LLMs and recommenders; build collateral (notebooks/code) as needed.
• Develop and debug software for NVIDIA and open-source AI frameworks and libraries.
• Partner with NVIDIA software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback.

Requirements

• 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 a 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.
• Collaborative team player who works 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

• Full stack experience from deep learning 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.

Additional details

• Occasional travel is required for local on-site visits to customers and conferences. The role is open to remote work (hybrid arrangements possible).
• You will also be eligible for equity and benefits.
• Applications for this job will be accepted at least until July 29, 2025.
• Base salary range: 184,000 USD - 287,500 USD.

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. They do not discriminate 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.