Senior Solutions Architect, Generative AI

at Nvidia
📍 Santa Clara, United States
USD 184,000-287,500 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 4 Kubernetes @ 3 Python @ 7 GitHub @ 7 MLOps @ 3 Hiring @ 4 Communication @ 7 Mathematics @ 4 Debugging @ 4 PyTorch @ 4 CUDA @ 4 GPU @ 4

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. The role involves working with leading technology companies and observing emerging industry trends.

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 like LLMs and recommender systems, and build collateral (notebooks/code) as needed.
  • Develop and debug software for NVIDIA and open-source AI frameworks and libraries.
  • Partner with NVIDIA’s software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback.
  • Use conferencing tools extensively; occasional travel required for local on-site visits to customers and conferences.

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.
  • Ability to collaborate 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 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.

Compensation & Benefits

  • Base salary range: 184,000 USD - 287,500 USD (will be determined based on location, experience, and pay of employees in similar positions).
  • Eligibility for equity and benefits (see www.nvidiabenefits.com and NVIDIA benefits pages).

Additional details

  • Applications for this job will be accepted at least until August 14, 2025.
  • NVIDIA is open to remote work but occasional on-site customer visits are required.
  • NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.