Senior AI Solutions Architect

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1 · Remote

NVIDIA is seeking an AI Solutions Architect with deep expertise in AI solutions and scalable data center infrastructure. The role involves embedding NVIDIA software into customer architectures, improving application performance, and establishing technical foundations for next-generation AI systems. Responsibilities include supporting business development, working directly with developers and customers, analyzing architectures for acceleration opportunities, and delivering trainings.

What you'd actually do

  1. Support Business Development and Sales teams as part of a Team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers’ ecosystem success.
  2. Work directly with developers and customers in a customer-facing setting
  3. Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.
  4. Analyze application architectures and find opportunities for acceleration.
  5. Provide feedback and collaborate with engineering, product and research teams.

Skills

Required

  • MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field (or equivalent experience)
  • 4+ years of experience in AI, ML, DL, NLP, and/or Generative AI
  • Familiarity with accelerated computing platforms and GPU-based distributed systems
  • Experience in algorithm programming using languages like Python and C/C++
  • Development experience using major AI frameworks (e.g., PyTorch, Tensorflow, and similar tools)
  • Familiarity with containers, numerical libraries, modular software design, version control, GitHub
  • Experience designing, prototyping, and building complex AI/ML-based solutions for customers
  • Able to reason across components such as data pipelines, models, compute, networking, and orchestration
  • Solid written and oral communications skills and familiarity with collaborative environments
  • Team players, can learn, react and adapt quickly with an attitude to work for a fast-paced environment

Nice to have

  • Development experience with NVIDIA software libraries and GPUs
  • Experience with Kubernetes, distributed training, and large-scale inference
  • Experience supporting or using PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages
  • Familiarity with embedded domain-specific languages (EDSL) like CUDA, OneAPI, OpenCL, or HDL

What the JD emphasized

  • 4+ years of experience in AI, ML, DL, NLP, and/or Generative AI
  • Experience designing, prototyping, and building complex AI/ML-based solutions for customers
  • Able to reason across components such as data pipelines, models, compute, networking, and orchestration

Other signals

  • customer-facing
  • NVIDIA software
  • AI/ML solutions
  • scalable data center infrastructure