NVIDIA is the defining technology company of the AI era, driving innovation through exceptional technology and talent. In this role, you will help shape the evolution of NVIDIA’s DOCA Networking software stack – the accelerated infrastructure framework powering AI factories and cloud environments. You will drive software innovation from vision to real-world impact, influencing some of the most advanced computing systems in the world. As part of the DOCA Product Group, you will lead software strategy for ConnectX NIC and BlueField DPU platforms – key pillars of NVIDIA’s data center and AI networking strategy – helping build the intelligent infrastructure of tomorrow.
What You'll Be Doing:
Lead the Product-strategy for DOCA networking stack and products across their life-cycle: from vision and inception, through detailed customer & ecosystem requirements, roadmap crafting, market introduction, growing into in-scale delivery, and product improvement cycles.
Orchestrate a unified technical strategy between AI product teams, engineering teams, and customers to advocate the use of DOCA libraries & microservices, and to develop new DOCA APIs and services for new deployments.
Drive multidisciplinary engineering and architecture teams to establish priorities and define precise, actionable requirements for breakthrough projects.
Forge strong partnerships with customers and ecosystem partners - actively listening to their technical needs, delivering expert guidance, and supporting successful, large-scale AI (and other) deployments that drive their strategic goals.
Create use cases and reference applications to demonstrate product value to technical and executive audiences.
Gather insights to define future products, including analysis of complementary and competitive products and customer feedback.
What We Need to See:
BSc/MSc in Computer Science, Communication Engineering, Software Engineering, or equivalent experience.
12+ years of experience in R&D, architecture, and program management, with primary focus on product management leadership in Data Center Networking with proven track record in defining and driving both inbound and outbound product strategy across complex technologies and cross-functional organizations.
MBA or similar experience, with a balance of technical and business knowledge.
Deeply versed in hardware-accelerated networking protocols (RDMA, ETH, and more), technologies (DPDK, OVS, and more), and full Product-solutions in Data Center and Cloud environments.
Strong ability to deliver complex, Linux-based networking software frameworks and SDKs specifically architected for cloud providers, hyperscalers, and large-scale enterprise deployments.
Translate global customer and business insights into high-impact networking solutions, bridging the gap between deep technical requirements and long-term strategic goals.
Proven experience driving vision into reality by navigating complex, global organizational matrices, using exceptional communication to align cross-functional engineering and product teams.
Highly motivated, fast learner, and a team-player.
Ways to Stand Out from the Crowd:
Strong background in Data-Centre clusters and topologies, AI-driven networking, storage, security, and orchestration techniques.
Hands-on experience with networking infrastructure and DPU architecture, programmable networking pipelines, and NVIDIA technologies (CUDA, embedded solutions), with deep platform ecosystem knowledge
Proven leadership in complex hardware/software systems development, Including: SW, embedded SW, and HW. Supplying complete solutions: from the networking infrastructure, through SDKs and services, and into the application-level.
Success in partnering with Tier-1 customers on networking and cloud infrastructure deployments.
Extensive product management experience in international organizations, with a focus on adaptability and cross-cultural collaboration as well as vast experience as a R&D manager, or engineering program manager.
NVIDIA is widely considered one of the technological world’s most desirable employers, and for good reasons. We’re home to some of the most forward-thinking and hardworking people anywhere, all focused on pushing the boundaries of what’s possible. If you’re a creative self-starter who thrives on autonomy and big challenges, this is where your ideas can truly take flight - so we want to hear from you!
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
