Senior Software Manager, AI Networking

What You’ll Be Doing: 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, 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. What We Need to See: 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, 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 from the Crowd: 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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. #J-18808-Ljbffr NVIDIA