Senior Software Engineer, AI Networking

What you'll do

• Architect, design, and develop scalable networking software; lead customer design-in, coding, bring-up, tuning, debugging, and production hardening.
• Translate customer needs into product features, reference architectures, tools, and guidelines with internal teams.
• Improve performance, reliability, and debuggability, and turn findings into product, firmware, and software roadmap items.

What they ask for

• 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, including RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs.
• Low-level software expertise with C/C++ and debugging across firmware, driver, OS, and application; demonstrated high-performance networking and system-level debugging experience.

Nice to have

• 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; leading multi-team initiatives; and proactively using AI-powered tools to accelerate engineering work.

Pay

184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)

Tools

BlueField DPU, ConnectX, RoCE/InfiniBand, C/C++, RDMA verbs, DPDK, DOCA, NCCL

AI focus

Proactively use AI-powered tools to accelerate debugging, documentation, and day-to-day engineering efficiency while maintaining engineering judgment.