Lead AI Networking Systems Engineer (DPU)

NVIDIA; Austin (TX); On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA, a leader in AI networking, seeks a senior software engineer to drive architecture and software for AI networking systems on US-based teams. You’ll engage hyperscalers, design scalable, low-latency solutions, and influence product direction through deep technical collaboration.

Role emphasizes leadership across complex systems, strong C/C++ skills, and hands-on debugging across firmware, drivers, OS, and applications. Equity and benefits accompany a competitive compensation package.

Qualifications

• Bachelor's, Master's or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or related field (or equivalent).
• 12+ years of relevant industry experience with technical leadership across complex systems.
• Deep knowledge of networking protocols and distributed systems including RoCE/InfiniBand, L1-L4 fundamentals, and performance/latency tradeoffs.
• Proven low-level software experience with C/C++ and debugging across firmware, driver, OS, and application layers.
• Experience in high-performance networking and system-level debugging (packet drops, retransmissions, congestion, QoS, ordering, buffer management).

Responsibilities

• Establish yourself as a technical specialist in AI networking products, e.g., BlueField DPU and ConnectX lines.
• Lead deep technical engagements with hyperscalers, including design-in, bring-up, performance tuning, and production hardening.
• Collaborate with internal teams to translate customer needs into product features, architectures, tools, and guidelines.
• Drive performance, reliability, and debuggability improvements across customer stacks and map findings to roadmap items.

Skills

C/C++

Networking

Distributed systems

Leadership

Debugging

Communication skills

Education

CS/CE/EE degrees

Tools

NCCL

DPDK

DOCA

RDMA verbs

CUDA

Job description

NVIDIA, a leader in AI networking, seeks a senior software engineer to drive architecture and software for AI networking systems on US-based teams. You’ll engage hyperscalers, design scalable, low-latency solutions, and influence product direction through deep technical collaboration.

Role emphasizes leadership across complex systems, strong C/C++ skills, and hands-on debugging across firmware, drivers, OS, and applications. Equity and benefits accompany a competitive compensation package.