
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.
🕒 March 10
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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.
• Act as the technical point of contact for startups and developers building AI applications • Help developers leverage NVIDIA’s tools for Gen AI and LLMs • Build and deliver sample applications, tutorials, and technical content • Partner with solution architects to benchmark improvements • Guide startups through integration with NVIDIA’s Gen AI stack • Represent the company at industry events and developer meetups • Gather developer feedback to inform product decisions • Map, track, and monitor the developer ecosystem
• Bachelor's Degree in Engineering, Science, Technical or related discipline or equivalent experience • Master's or Ph.D. preferred • Good knowledge and trends in the industry • Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks • At least 8 years related experience • 5+ years’ experience in AI and ML software development environment • At least 3 years’ experience in business development activities • Excellent communication skills • Ability to influence and persuade at operational and executive level
• Equal opportunity employer • Value diversity at our company • Reasonable accommodation to participate in the job application or interview process
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