Senior Research Engineer

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17 hours ago

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NVIDIA

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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

• Work with applied researchers to design, implement and test next generation of RL and post-training algorithms • Contribute and advance open source by developing NeMo-RL, Megatron Core, and NeMo Framework and yet to be announced software • Engage as part of one team during Nemotron models post-training • Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment • Work at the intersection of computer-architecture, libraries, frameworks, AI applications and the entire software stack • Performance tuning and optimizations, model training with mixed precision recipes on next-gen NVIDIA GPU architectures • Publish and present results at academic and industry conferences

🎯 Requirements

• BS, MS or PhD in Computer Science, AI, Applied Math, or related fields or equivalent experience • 3+ years of proven experience in machine learning, systems, distributed computing, or large-scale model training • Experience with AI Frameworks such as Pytorch or JAX • Experience with at least one inference and deployment environments such as vLLM, SGLang or TRT-LLM • Proficient in Python programming, software design, debugging, performance analysis, test design and documentation • Strong understanding of AI/Deep-Learning fundamentals and their practical applications

🏖️ Benefits

• Creative and autonomous work environment • Opportunities to work with open-source technology • Access to cutting-edge AI technology