Senior Software Architect, AI Networking job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: AI Networking Senior Software Architect, AI Networking position at NVIDIA


DateMore Than 30 Days Ago bot
NVIDIA Senior Software Architect, AI Networking
Experience: Highly Experienced
Pattern: full-time
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AI Networking

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loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA as a Senior Software Architect for AI Networking and help define the future of AI inference infrastructure. In this groundbreaking role, you will drive performance and scalability in distributed AI systems. You will focus on optimizing and innovating how large language models and generative AI workloads move and process data at scale. What you'll be doing: Research, design, and implement advanced AI networking technologies with an emphasis on accelerating inference workloads using NVIDIA Inference Xfer Library (NIXL)—a high-throughput, low-latency communication library for asynchronous, efficient data transfers across GPUs, CPUs, and various storage targets. Collaborate with other teams across NVIDIA's hardware, software, and research units to co-design hardware-accelerated and software solutions for AI inference. Own the creation of prototypes and solutions for next-generation AI inference systems. Drive architectural decisions underpinning the deployment and scaling of AI inference using NVIDIA’s innovative technology. What we need to see: Master's or Ph.D. in Computer Science, Electrical or Computer Engineering or equivalent experience. At least 8 years of relevant academic or confirmed experience in the field. Comprehensive understanding of AI workloads (primarily inference, but also training) and their impact on network infrastructure. Strong proficiency in areas such as Machine Learning/Deep Learning fundamentals, inference runtimes, and Deep Learning frameworks. Proficiency in C or C++ for systems software development; familiarity with Rust is an advantage. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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