
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.
🕒 April 13
🏄 California, Massachusetts – Remote
💵 $224k - $356.5k / year
⏰ Full Time
🟠 Senior
🏛️ Architect
🦅 H1B Visa Sponsor
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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.
• 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.
• 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.
• equity • benefits
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