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NVIDIA

Senior Software Engineer, AI Networking

NVIDIA

. Establish technical expertise in AI networking products, specifically BlueField DPU and ConnectX product lines .

Posted 11/5/2026full-timeUnited StatesSenior💰 $224,000 - $431,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI networking products, particularly BlueField DPU and ConnectX, with a strong focus on architecting and developing high-performance hardware-accelerated software solutions. Proven ability to lead technical engagements and drive improvements in performance, reliability, and debugging across complex systems.

Highest-signal resume keywords
Technical LeadershipNetworking ProtocolsC/C++ ProficiencyHigh-Performance NetworkingCustomer-Facing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Networking ProductsBlueField DPUConnectXC/C++ ProgrammingNetworking ProtocolsDistributed SystemsPerformance TuningSystem-Level DebuggingRDMA VerbsDPDK
Soft Skills
Interpersonal SkillsCross-Organizational AlignmentMultitasking
Tools & Technologies
DOCANCCLCUDA-Aware NetworkingTelemetryAutomation Tools
Industry Keywords
HyperscalersCSPsFirmwareDriverOSApplicationQoSCongestion ControlPerformance/Latency TradeoffsPacket Drops

Tech Stack

Tools & technologies
Distributed SystemsC++

About the role

Key responsibilities & impact
  • Establish technical expertise in AI networking products, specifically BlueField DPU and ConnectX product lines
  • Architect, design, and develop innovative, scalable, high-performance hardware-accelerated software solutions
  • Lead deep technical engagements with hyperscalers, including 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
  • Translate findings into actionable product, firmware, and software roadmap items
  • Influence NVIDIA networking technologies and product architecture direction

Requirements

What you’ll need
  • A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience)
  • 12+ years of relevant industry experience, including technical leadership across complex systems
  • Deep knowledge of networking protocols and distributed systems
  • Strong understanding of RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs
  • Proficiency in C/C++
  • Comfort debugging across firmware, driver, OS, and application
  • 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, PMs, and customer collaborators
  • Ability to align cross-organizational teams toward a decision
  • Ability to multitask in a dynamic environment with shifting priorities and changing requirements
  • 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
  • Experience leading multi-team initiatives across geographic regions and time zones
  • Experience using AI-powered tools to accelerate debugging, documentation, and engineering efficiency

Benefits

Comp & perks
  • Competitive salaries
  • Generous benefits package
  • Equity