Senior Architect

at Nvidia

📍 United States

USD 224,000-356,500 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 7 API Communication @ 7 GPU @ 7 Machine Learning @ 7

Details

We are building the software infrastructure for the next era of scientific discovery. At NVIDIA, we believe AI will transform how new chemicals and materials are discovered. We are developing the software tools to make that possible. NVIDIA ALCHEMI is a key pillar of this stack, and this role will help shape ALCHEMI and the broader software ecosystem around it.

We are looking for a technical leader at the frontier of AI, simulation, and chemistry. You will turn sophisticated research into software that scientists use for real discovery. You will work across research, engineering, product, and strategic partnerships. You will help define how NVIDIA builds software for chemistry and materials science.

Responsibilities

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.
Work across organizations to shape and prioritize features for NVIDIA ALCHEMI and related software efforts.
Translate advances in ML interatomic potentials, generative modeling, and quantum chemistry into product direction.
Bring together inputs from researchers, partners, and internal teams to guide priorities.
Represent NVIDIA at leading scientific conferences, workshops, and industry events.

Requirements

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.