NVIDIA
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.
Research Scientist, ML Systems
🕒 December 23, 2025
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NVIDIA
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
• Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications. • Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales. • Contribute to the co-design of next-generation AI/ML algorithms and systems. • Collaborate with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking. • Publish original research and speak at conferences and events.
🎯 Requirements
• Recent graduate with a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience). • A strong publication, patent, and research collaboration history is a huge advantage. • Demonstrated expertise in one specific area with the ability to become the go-to resource within a team having varied backgrounds. • Background with experimental research and development. • Experience with C, C++, Python, and/or scripting languages. • Experience with using AI tools for analysis, design, and code development.
🏖️ Benefits
• NVIDIA is widely considered to be one of the technology world’s most desirable employers.
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