Senior Software Engineer, AI Networking

NVIDIA is seeking a Senior Software Engineer to join its US-based networking software team. The successful candidate will lead the transformation of AI networking systems, applying their deep expertise to manage complex customer engagements and help develop the company's product and architecture direction.

The role involves:

• Establishing oneself as a technical specialist in AI networking products, specifically the BlueField DPU and ConnectX product lines
• Architecting, designing, and developing innovative, scalable, and high-performance hardware-accelerated software solutions
• Leading deep technical engagements with hyperscalers, involving design-in, coding, bring-up, performance tuning, failure analysis, and production hardening
• Partnering with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines
• Driving performance, reliability, and debuggability improvements across customer stacks and translating findings into actionable product, firmware, and software roadmap items

The ideal candidate will have:

• A Bachelor's, Master's or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree
• 8+ years of relevant industry experience, including technical leadership across complex systems
• Deep knowledge of networking protocols and distributed systems, with a strong understanding of RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs
• Proven low-level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, OS, and application
• Demonstrated experience in high-performance networking and system-level debugging
• Excellent interpersonal skills, with the ability to clearly explain complex topics to engineers, PMs, and customer collaborators

Prior experience in customer-facing technical leadership at hyperscalers/CSPs, hands-on expertise with RDMA verbs, DPDK, DOCA, NCCL, CUDA-aware networking, congestion control, and performance tuning at scale are desirable.

The position offers equity and benefits.