…Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents. Collaborate with product, engineering, business, and…

…Join us! The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on…

…Key job responsibilities Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base…

…memory management, threading, and concurrency - Proven experience designing and shipping large-scale software or systems - Demonstrated leadership in shaping technical direction and mentoring engineers…

…This enables us to deliver near bare-metal performance and support a wide range of workloads, from machine learning and high-performance computing to…

…More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to…

…impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern…

…The Hexagon architecture is designed to deliver performance with low power and area over a variety of applications like Audio, Modem, Machine learning, IoT…

…machine learning based algorithms Interpersonal skills and creativity to help the team solve design challenges Degree in Computer Science, Electrical Engineering or Computer Engineering…

…Hands-on experience profiling and optimizing CPU, GPU, and memory behavior using industry-standard tooling. Experience leading technical design reviews, setting engineering standards, and…

…at conferences and events Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components What…

…NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and…

…machine learning systems, particularly embedding pipelines in production or research contexts. - A first-principles mindset for challenging assumptions about how retrieval and memory should…

…scale machine learning accelerators and the Trn3/Trn2/Trn1 and Inf2/Inf1 servers that use them. This role is for a software engineer in…

…or PhD in Machine Learning, Computer Science, or related areas. Nice to Have: Publications at top ML conferences. Experience using Cursor, Copilot, Codex, or…

…The Ads Identity & Audiences team is revolutionizing ad experiences by utilizing advanced machine learning models for identity resolution and precise behavioral and contextual audience…

…feedback into learning signals, and how we continuously improve models and products safely and efficiently. You will partner closely with product, engineering, design, operations…

…model pruning and quantization, and support deployment on memory constrained platforms - Collaborate closely with ML engineers and software developers on technical efforts to find…

…Proficient in data engineering necessary for orchestrating end-to-end machine learning training pipelines, ideally with experience processing large datasets with Apache Spark. SME…

…Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning…

…including machine learning. Create strategies that will lead to innovative projects and follow-on products for the future. Operate across research and engineering teams…

…Preferred Qualifications Understand modern and real-world Machine Learning model development workflows and experience partnering closely with ML modeling engineers. Lead technical design reviews…

…This role involves leading discussions and collaborating with machine learning, deployment, test, and security engineers to ensure seamless integration of our machine learning models…

…systems, memory management). Experience with CUDA. Deep understanding of state-of-the-art machine learning techniques and models. Experience optimizing various machine learning architectures…

…You’ll work closely with researchers and model engineers to translate ideas into experiments—and those experiments into production training runs. This is a…