Senior Software Advanced Developer

Overview

• 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.
• NVIDIA is seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using NVIDIA’s Spectrum-X AI fabric.
• This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems.
• Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency.
• Your work impacts large AI system development, scaling, and speed.
• What you’ll be doing: Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.
• Analyze and optimize communication flows across application, transport, and network layers.
• Develop system software spanning communication libraries, drivers, and firmware integrations.
• Collaborate with hardware, firmware, and SDK teams to co-design network features.
• Validate and integrate prototypes into NVIDIA’s AI infrastructure and products.
• What we need to see: BSc/MSc/PhD in Computer Science or Electrical Engineering 5+ years of relevant experience and/or knowledge Deep understanding of networking and communication internals — NCCL, RDMA/RoCE, congestion control.
• Hands-on experience with HW/SW/FW integration and low-level programming (C/C++, kernel, drivers).
• Some background in distributed training systems (such as PyTorch DDP, Megatron-LM, DeepSpeed).
• Ways to stand out from the crowd: Demonstrated innovation and leadership turning prototypes into impactful product features.
• Experience with programmable data planes (P4, eBPF, DOCA SDK, or switch SDKs).
• Familiarity with NIC firmware scheduling, in-network compute, or congestion management.
• Contributions to open-source projects, academic papers, or performance benchmarking tools.
• Strong background in AI factory architectures, distributed inference, or network telemetry.
• NVIDIA is known as one of the most sought-after employers globally.
• You’ll be part of a high-impact team that develops technologies shaping the future of AI networking and distributed computing.
• If you’re enthusiastic about crafting the future — we look forward to hearing from you!.