Senior Software Manager, AI Networking

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. This role is for a Senior Manager to guide a customer-centered engineering team that collaborates with important customers and large-scale AI infrastructure initiatives, expanding NVIDIA’s networking footprint with hyperscalers, cloud providers, and AI factory environments.

Responsibilities

• Lead, support, and grow a high-performing team of customer-facing networking engineers.
• Provide organizational and technical leadership across NVIDIA networking technologies, including BlueField, ConnectX, Spectrum-X, DOCA, RDMA, RoCE, and InfiniBand.
• Support large-scale customer design-in, bring-up, and deployment of current and next-generation AI systems, and prepare for future platforms.
• Engage directly with engineering, product management, architecture, and program teams to translate field requirements into product improvements and roadmap priorities.
• Build team capability through hiring, onboarding, coaching, mentoring, and performance management.
• Develop future leaders by strengthening technical leadership and team ownership.
• Guide resource planning and customer prioritization across multiple strategic accounts to enhance business impact and execution quality.
• Improve team scalability by investing in debugging methods, telemetry, automation, documentation, and operational excellence.

Requirements

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 12+ years of overall experience in software, systems, networking, or AI infrastructure engineering.
• 5+ years of proven experience leading and scaling engineering teams, including hiring, mentoring, and managing senior engineers or technical leads.
• Strong technical background in networking and distributed systems, with an understanding of RoCE, InfiniBand, L1-L4 networking fundamentals, and large-scale system behavior.
• Experience handling customer issues and driving alignment across teams in fast-paced, high-visibility situations.
• Strong communication skills, with the ability to work effectively with customers, engineering, product, architecture, and leadership teams.
• Demonstrated ability to scale impact through others and build strong team execution.
• Ability to operate effectively across organizational and geographic boundaries in dynamic environments.

Ways to Stand Out

• Experience leading customer-facing engineering teams supporting hyperscalers, cloud providers, or large-scale AI factory deployments.
• Familiarity with DOCA, DPDK, RDMA verbs, NCCL, CUDA-aware networking, congestion control, and telemetry or performance tuning at scale.
• Experience leading multi-functional initiatives across multiple teams, sites, or time zones.
• Established record of improving operational excellence, triage efficiency, and engineering productivity via automated and AI-enhanced workflows.
• Experience growing team scope, hiring strong talent, and building the foundation for future organizational growth.

Compensation and Benefits

• Base salary range: 272,000 USD - 431,250 USD (final base salary determined by location, experience, and peer pay).
• Eligible for equity and benefits (link to NVIDIA benefits in original posting).

Company & Application Info

• Applications for this job will be accepted at least until May 19, 2026.
• NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity.