Senior Software Engineer, AI Networking
About The Position
NVIDIA is seeking a Software Engineer for its US-based networking software team to help transform AI networking systems. The role is a technical leadership position focused on complex customer engagements and contributing to product and architecture direction. The engineer will become a technical specialist in AI networking products, particularly the BlueField DPU and ConnectX product lines, and architect, design, and develop scalable, high-performance, hardware-accelerated software solutions. The role includes leading technical engagements with hyperscalers from design-in through coding, bring-up, performance tuning, failure analysis, and production hardening. The engineer will collaborate with internal engineering, product, and architecture teams to turn customer needs into product features, reference architectures, tooling, and guidelines. They will also drive performance, reliability, and debuggability improvements across customer stacks and translate findings into 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 discipline, or equivalent experience.
- 12+ 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 and latency tradeoffs.
- Low-level software expertise, with proficiency in C/C++ and ability to debug across firmware, drivers, operating systems, and applications.
- Experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management.
- Excellent interpersonal skills and ability to explain complex topics to engineers, product managers, and customer collaborators, and align cross-organizational teams toward decisions.
- Results-driven approach and comfort multitasking in a dynamic environment with shifting priorities and changing requirements.
Nice To Haves
- Customer-facing technical leadership experience at hyperscalers or cloud service providers.
- 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 to improve triage speed and operational excellence.
- Experience leading multi-team initiatives across geographic regions and time zones, with examples of influencing without authority.
- Proactive use of AI-powered tools to accelerate debugging, documentation, and day-to-day engineering efficiency while maintaining sound engineering judgment.
Responsibilities
- Establish technical expertise in AI networking products, particularly the BlueField DPU and ConnectX product lines.
- Architect, design, and develop innovative, scalable, high-performance hardware-accelerated software solutions.
- Lead technical engagements with hyperscalers, including design-in, coding, bring-up, performance tuning, failure analysis, and production hardening.
- Collaborate with engineering, product, and architecture teams to translate customer needs into product features, reference architectures, tooling, and guidelines.
- Drive performance, reliability, and debuggability improvements across customer stacks.
- Translate customer and system findings into actionable product, firmware, and software roadmap items.
Benefits
- Equity
- Benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
