Senior Software Engineer, Ai Networking

Nvidia Corporation

Multiple Locations
Base: 184,000 usd - 287,500 usd (level 4); 224,000...
On-site
Ai networking products
Bluefield dpu and connectx
High-performance hardware-accelerated software
Nvidia Corporation is seeking a Senior Software Engineer for AI Networking to lead the transformation of networking systems, focusing on products like BlueField DPU and ConnectX. The ideal candidate will have extensive experience in software engineering, particularly in networking protocols and low-level programming, and will thrive in a dynamic team environment

Job Summary

  • Lead the transformation of AI networking systems by applying deep expertise to manage complex customer engagements and help develop product and architecture direction.
  • Establish yourself as a technical specialist in AI networking products, architecting, designing, and developing innovative, scalable, and high-performance hardware-accelerated software solutions.
  • Drive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items.

Matching Summary

Match Score: 85

Nvidia Corporation is seeking a Senior Software Engineer for AI Networking to lead the transformation of networking systems, focusing on products like BlueField DPU and ConnectX. The ideal candidate will have extensive experience in software engineering, particularly in networking protocols and low-level programming, and will thrive in a dynamic team environment.

Salary

Base: 184,000 USD - 287,500 USD (Level 4); 224,000 USD - 356,500 USD (Level 5); Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • AI networking products
  • BlueField DPU and ConnectX
  • high-performance hardware-accelerated software
  • deep technical engagements with hyperscalers
  • networking protocols and distributed systems
  • RoCE/InfiniBand, L1–L4 fundamentals
  • low-level software expertise
  • C/C++ proficiency
  • system-level debugging

Nice-to-have

  • customer-facing technical leadership
  • RDMA verbs, DPDK, DOCA, NCCL
  • CUDA-aware networking
  • congestion control and performance tuning
  • building internal tools and automation
  • AI-powered tools for engineering efficiency

Key Requirements

  • 8+ years of relevant industry experience
  • technical leadership across complex systems
  • Bachelor’s, Master’s or PhD in relevant field or equivalent experience

Work Rights

Not specified

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