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
Manager, LLM Accuracy Evaluation
Job not on LinkedIn
October 7
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
đź“‹ Description
• Lead and mentor a team of highly skilled engineers • Drive the accuracy evaluation of flagship AI models • Collaborate with stakeholders across NVIDIA • Develop and implement new methodologies for evaluating LLMs, multimodal systems, and agent frameworks at scale • Build a culture of innovation and excellence
🎯 Requirements
• BS, MS, or PhD in Computer Science, AI, Applied Math, or related field, or equivalent experience • 7+ years of industry experience, including 3+ years in leadership • Proven success leading engineering teams and delivering complex AI/deep learning projects • Deep understanding of modern AI technologies—LLMs, multimodal models, retrieval-augmented generation, and agent frameworks • Outstanding communication skills • Demonstrated ability to mentor and grow engineering talent
🏖️ Benefits
• NVIDIA is committed to fostering a diverse work environment • Equal opportunity employer
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