NVIDIA
AI Networking
SeniorSoftwareManager,AINetworking
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Manager, AI Networking at NVIDIA. Skills: AI Networking, Leadership, Customer Engagement, Team Management, Technical Expertise in Networking and Distributed Systems. direct a customer focused engineering team partnering with major clients and broad AI infrastructure efforts. guiding people”
What You'll Achieve.
increase NVIDIA’s networking footprint; extend the team’s scope; enhance organizational skills; develop rising leaders; advance NVIDIA’s networking reach; enhance business impact and execution quality; Improve team scalability; build the foundation for future organizational growth
Industry & Context.
handling customer issues; driving alignment across teams; translating field requirements into product improvements; performance tuning at scale; triage efficiency
What They're Looking For.
Must Have
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, 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, 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 team execution, Ability to operate effectively across organizational and geographic boundaries in dynamic environments
Nice to Have
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 talent, and building the foundation for future organizational growth
What You'll Do.
direct a customer focused engineering team partnering with major clients and broad AI infrastructure efforts
applying technical skills
working across departments to advance NVIDIA’s networking reach
and grow a high-performing team of customer-facing networking engineers
Provide organizational and technical leadership across NVIDIA networking technologies
Support large-scale customer design-in
and deployment of current and next-generation AI systems
while preparing for future platforms
Engage directly with engineering
and program teams to translate field requirements into product improvements and roadmap priorities
Build team capability through hiring
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
and operational excellence
How You'll Work.
Team & Collaboration
collaborates with important customers; partnering with major clients; working across departments; Engage directly with engineering, product management, architecture, and program teams; work effectively with customers, engineering, product, architecture, and leadership teams; leading multi-functional initiatives across multiple teams, sites, or time zones
Communication Scope
communication skills; ability to work effectively with customers, engineering, product, architecture, and leadership teams
Process & Methodology
resource planning, customer prioritization, execution quality
Full Job Description
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. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a Senior Manager to guide a customer-centered engineering team that collaborates with important customers and large-scale AI infrastructure initiatives. In this role, you will blend leadership abilities, technical knowledge, and cooperative efforts to increase NVIDIA’s networking footprint with hyperscalers, cloud providers, and AI factory environments. You will also help extend the team’s scope, enhance organizational skills, and develop rising leaders as customer demands and platform complexity evolve. **What You’ll Be Doing:** As a Senior Engineering Manager in the AI Networking group, you will direct a customer focused engineering team partnering with major clients and broad AI infrastructure efforts. Your responsibilities will include guiding people, applying technical skills, and working across departments to advance NVIDIA’s networking reach in multiple environments. * 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 platf
Applying for this Senior Software Manager, AI Networking role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.