Senior Software Engineer, AI Networking

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. We are seeking an outstanding Software Engineer to join our US-based networking software team. As a technical leader, you will lead the transformation of AI networking systems, manage complex customer engagements, and help develop product and architecture direction for NVIDIA's networking technologies (including BlueField DPU and ConnectX product lines).

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.

Requirements

• 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 layers.
• Demonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management.
• Excellent interpersonal skills, with the ability to clearly explain complex topics to engineers, PMs, and customer collaborators, and align cross-organizational teams toward a decision.
• Result driven and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.

Ways to stand out from the crowd

• 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.
• Experience building internal tools, telemetry, and automation that improve triage speed and operational excellence.
• Experience leading multi-team initiatives across geo/time zones, with examples of influence without authority and using AI-powered tools to accelerate debugging, documentation, and engineering efficiency.

Compensation & Benefits

• Base salary range (determined by location, experience, and pay of employees in similar positions):
  • Level 4: 184000 USD - 287500 USD
  • Level 5: 224000 USD - 356500 USD
• Eligible for equity and benefits (link to NVIDIA benefits provided in the posting).

Additional information

• Applications for this job will be accepted at least until March 26, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity and inclusion.