Senior Software Engineer, AI Networking

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.
• What we need to see
• 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.

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