Senior Architect

🕒 April 13

🏄 California, Massachusetts – Remote

🏄 California – Remote 🍂 Massachusetts – Remote

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

🏛️ Architect

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🏖️ Benefits

• equity • benefits