
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 24
🏄 California – Remote
💵 $184k - $287.5k / year
⏰ Full Time
🟠 Senior
🤖 Artificial Intelligence
🦅 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.
• Identify top researchers and labs within academic and scientific research institutions specializing in AI applied to Chemistry and Material Science. • Lead strategic relationships with opinion leaders and researchers. • Define NVIDIA's strategy for engaging developers in university and research environments by working with cross functional teams: Product, Engineering, Marketing, Applied Research, etc. • Evangelize and directly engage target collaborators on building teaching kits. • Host developer and customer evangelism events: meetups, hackathons, lectures. • Speak at relevant scientific, technical and industry conferences.
• PhD in computational chemistry, materials science, computer science, or a related field; or equivalent experience. • 6+ years of experience in one or more of higher education for machine learning interatomic potentials, generative modeling, and quantum chemistry workflows. • Demonstrated knowledge of the research ecosystem landscape related to AI applications in chemical and materials research. • Outstanding communication abilities with proven experience in conveying a value proposition to both technical and non-technical audiences.
• equity • benefits
Apply Now🕒 April 24
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