NVIDIA
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.
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
Senior Software Engineer
November 6, 2024
🇺🇸 United States – Remote
💵 $148k - $276k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
NVIDIA
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.
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
📋 Description
• Develop and enhance functionalities within the GenAI-Perf, Triton Performance Analyzer and Triton Model Analyzer tools • Collaborate with researchers and engineers to understand their performance analysis needs and translate them into actionable features • Collaborate closely with cross-functional teams including software engineers, system architects, and product managers to drive performance improvements throughout the development lifecycle • Responsible for setting up, executing, and analyzing the performance of LLM, Generative AI and deep learning models • Develop and implement efficient algorithms for measuring deep learning throughput and latency, benchmarking large language models, and deploying models • Integrate various tools to create a unified and user-friendly experience for deep learning performance analysis • Automate testing processes to ensure the quality and stability of the tools • Contribute to technical documentation and user guides
🎯 Requirements
• Bachelor's, Masters, or PhD or equivalent experience • 6+ years in Computer Science, computer architecture, or related field • Knowledge of distributed systems programming • Excellent Python programming and software design skills, including debugging, performance analysis, and test design
🏖️ Benefits
• Eligible for equity and benefits • Committed to fostering a diverse work environment • Equal opportunity employer
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