NVIDIA
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.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Senior Technical Marketing Engineer - CUDA-Q
July 3
🏄 California – Remote
🗽 New York – Remote
💵 $160k - $322k / year
⏰ Full Time
🟠 Senior
🎡 Marketing
🦅 H1B Visa Sponsor
NVIDIA
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.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
📋 Description
• Building a platform for delivering educational resources to professors and students • Integrating GPUs and QPUs into educational labs • Working with leading universities enable the adoption of CUDA-Q into academic curriculum • Collaborating across teams to advance Quantum Computing education to prepare the next generation of students to enter a Quantum-enabled workforce
🎯 Requirements
• Strong communication skills and ability to work across teams • Experience deploying educational content, jupyter notebooks, jupyterlab, or similar into production settings • Programming experience in Python and/or C++ • Strong understanding of containerization and workflow frameworks, such as Docker, Docker Compose, and Kubernetes • A Bachelors degree or equivalent experience • 5+ years work experience • Experience with cloud orchestration frameworks • Experience developing educational content at a university or post-graduate level • Background with CUDA and CUDA-Q • Background with AI-assisted or personalized learning platforms • Experience developing AI Agents and/or RAG workflows
🏖️ Benefits
• equity • benefits
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