Senior Architect

NVIDIA NVIDIA · Semiconductors · CA +1 · Remote

NVIDIA is seeking a Senior Architect to lead the development of software infrastructure for AI-driven scientific discovery in chemistry and materials science. The role involves shaping NVIDIA ALCHEMI and its ecosystem, translating AI research (ML interatomic potentials, generative modeling) into product direction, and engaging with internal/external stakeholders. The ideal candidate has a PhD or equivalent experience, 8+ years of AI/ML software development for chemistry/materials, strong GPU computing and ML framework experience, and expertise in scientific software architecture.

What you'd actually do

  1. Serve as NVIDIA's technical SME, engaging with internal and external stakeholders, customers, users and product teams to design developer tools, APIs, and workflows for chemistry and materials science.
  2. Work across organizations to shape and prioritize features for NVIDIA ALCHEMI and related software efforts.
  3. Translate advances in ML interatomic potentials, generative modeling, and quantum chemistry into product direction.
  4. Bring together inputs from researchers, partners, and internal teams to guide priorities.
  5. Represent NVIDIA at leading scientific conferences, workshops, and industry events.

Skills

Required

  • PhD in computational chemistry, materials science, computer science, or a related field; or equivalent experience
  • 8+ years building AI or machine learning software for chemistry or materials applications
  • Strong experience with GPU-accelerated computing and modern ML frameworks
  • Deep knowledge of machine learning interatomic potentials, generative modeling, and quantum chemistry workflows
  • Experience architecting scientific software, developer platforms, or technical products
  • Strong communication skills across technical and non-technical audiences

Nice to have

  • High-impact publications in AI for chemistry, molecular modeling, or materials discovery
  • Experience with CUDA, parallel programming, or performance-focused software development
  • Experience leading software or product development in a fast paced technical environment
  • Contributions to open-source software for simulation, chemistry, or materials science

What the JD emphasized

  • 8+ years building AI or machine learning software for chemistry or materials applications
  • Deep knowledge of machine learning interatomic potentials, generative modeling, and quantum chemistry workflows

Other signals

  • AI will transform how new chemicals and materials are discovered
  • developing the software tools to make that possible
  • shape ALCHEMI and the broader software ecosystem
  • technical leader at the frontier of AI, simulation, and chemistry
  • turn sophisticated research into software that scientists use for real discovery