Senior Software Engineer, AI Networking

About the role

NVIDIA is seeking an outstanding Software Engineer to join our US-based networking software team. This role offers an outstanding opportunity to influence NVIDIA's networking technologies and make a significant impact on the industry.

Responsibilities

• Establish yourself as a technical specialist in AI networking products, specifically the BlueField DPU and ConnectX product lines.
• Arcitect, 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

• 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
• 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

Qualifications

• 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 clear examples of influence without authority as well as eager and proactive in bringing to bear AI-powered tools to accelerate debugging, documentation, and day-to-day engineering efficiency while maintaining strong engineering judgment

Skills

• Technical leadership in AI networking products
• Design and development of innovative, scalable, and high-performance hardware-accelerated software solutions
• Customer engagement and technical support
• Collaboration with internal engineering, product, and architecture teams
• Performance, reliability, and debuggability improvements
• Interpersonal skills and communication
• Technical writing and documentation

Benefits

• Competitive base salary ranging from $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5
• Eligibility for equity and benefits

Pay

• Base salary determined based on location, experience, and the pay of employees in similar positions

Schedule

• Full-time position