Senior AI Networking Engineer - High-Performance Systems

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in California is seeking an outstanding Software Engineer to join our US-based networking software team. As a technical leader, you will drive the transformation of AI networking systems, architecting, designing, and delivering high-performance hardware-accelerated software for BlueField DPU and ConnectX.

You will lead deep engagements with hyperscalers, translate customer needs into product features, and push performance and reliability improvements across stacks, while collaborating

Qualifications

• A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience)
• 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, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management

Responsibilities

• Establish yourself as a technical specialist in AI networking products, specifically the BlueField DPU and ConnectX product lines. Architect, design, and develop innovative, scalable, and high-performance hardware-accelerated software solutions.
• Lead deep technical engagements with hyperscalers, involving design‑in, coding, bring‑up, performance tuning, failure analysis, and production hardening.
• Partner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines.
• Drive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items

Skills

C/C++

Networking

Leadership

Communication

Debugging

Education

Bachelor's/Master's/PhD in CS/Software Engineering

Tools

RDMA verbs

DPDK

DOCA

NCCL

CUDA

Job description

NVIDIA in California is seeking an outstanding Software Engineer to join our US-based networking software team. As a technical leader, you will drive the transformation of AI networking systems, architecting, designing, and delivering high-performance hardware-accelerated software for BlueField DPU and ConnectX.

You will lead deep engagements with hyperscalers, translate customer needs into product features, and push performance and reliability improvements across stacks, while collaborating