Senior Software Advanced Developer

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.

Responsibilities:

• 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.

Requirements:

• 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).

Preferred Qualifications:

• 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.