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 Deep Learning Algorithm Engineer
October 24
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
• Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing • Contribute and advance open source NeMo-RL , Megatron Core , NeMo Framework • 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 compter-architecture, libraries, frameworks, AI applications and the entire software stack. • Innovate and improve model architectures, distributed training algorithms, and model parallel paradigms. • Performance tuning and optimizations, model training and finetuning with mixed precision recipes on next-gen NVIDIA GPU architectures. • Research, prototype, and develop robust and scalable AI tools and pipelines.
🎯 Requirements
• MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields. • 5+ years of industry experience. • Experience with AI Frameworks (e.g. PyTorch, JAX, Ray), and/or inference and deployment environments (e.g. TRTLLM, vLLM, SGLang). • Proficient in Python programming, software design, debugging, performance analysis, test design and documentation. • Consistent record of working effectively across multiple engineering initiatives and improving AI libraries with new innovations. • Strong understanding of AI/Deep-Learning fundamentals and their practical applications.
🏖️ Benefits
• equity • benefits
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