Senior Software Manager, AI Networking

Job Overview

Job

Requisition  
• Job Category:
Engineering
• Time Type:
Full time

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing, where our GPUs act as the brains of computers, robots, and self-driving cars that can understand the world.

In this role, you will guide a customer‑centered engineering team that collaborates with major clients and large‑scale AI infrastructure initiatives, blending leadership and technical skills to increase NVIDIA’s networking footprint with hyperscalers, cloud providers, and AI factory environments.

• Lead, support, and grow a high‑performing team of customer‑facing networking engineers.
• Provide organizational and technical leadership across NVIDIA networking technologies, including Blue Field, Connect
  
  X, Spectrum‑X, DOCA, RDMA, RoCE, and Infini Band.
• Support large‑scale customer design‑in, bring‑up, and deployment of current and next‑generation AI systems, while preparing 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.

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 12+ overall years of 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, Infini Band, 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.

• Experience leading customer‑facing engineering teams supporting hyperscalers, cloud providers, or large‑scale AI factory deployments.
• Familiarity with technologies such as 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.

Base salary range: 272,000 USD – 431,250 USD, determined by location, experience, and internal equity. Employees are also eligible for equity and a generous benefits package.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.