In this role, you’ll accelerate the evolution of NVIDIA's DOCA - the software platform that defines how BlueField DPUs and ConnectX SuperNICs power AI factories, cloud infrastructure, and enterprise data centers. DOCA is the infrastructure acceleration layer for the globe's most fast paced workloads. As a Product Management leader in the DOCA group, you'll drive the developer platform that thousands of engineers build on. You will guide a group of senior PMs to develop the capabilities that hyperscalers and cloud providers depend on. This is a rare opportunity to define a platform at its inflection point - with the scope, team, and strategic backing to make it the industry standard.
At NVIDIA, you’ll join a diverse, motivated community united by curiosity, creativity, and a shared mission to change the world. Our DOCA Product Group leads software strategy for ConnectX and BlueField DPU product lines - cornerstones of NVIDIA’s data-center and AI strategy. Together, we are building the networking backbone of tomorrow’s intelligent systems and shaping the future of how computation connects.
What You'll Be Doing:
Own DOCA work end-to-end - from strategy and prioritization to release - incorporating signals from hyperscalers, CSPs, and the developer ecosystem.
Lead and grow a team of product managers, setting direction, developing talent, and maintaining cross-functional alignment with engineering, architecture, and GTM.
Champion DOCA SDK adoption with developers and partners, defining new APIs, libraries, and microservices that unlock new deployment architectures.
Drive requirements for end-to-end platform capabilities, covering accelerated datapath provisioning, multi-tenant network isolation, and offload lifecycle management - feeding into a complete, production-ready DOCA solution for AI factory and cloud deployments.
Collaborate deeply with multidisciplinary engineering and architecture teams to establish priorities and define precise, actionable requirements for breakthrough projects.
Build positive relationships with customers and ecosystem partners. Listen carefully to their technical needs. Provide expert mentorship and support broad AI implementations that advance their strategic goals.
Create use cases and reference applications to demonstrate product value to technical and executive audiences.
Drive competitive intelligence and market analysis to identify gaps and opportunities across the DPU software landscape, informing both near-term priorities and long-term platform strategy.
What We Need to See:
BSc/MSc in Computer Science, Software Engineering, or related field; or equivalent experience.
15+ years of overall experience as product management in systems software or networking, and 5+ years leading PM teams and cross-functional leadership at scale
Demonstrated experience leading and developing product management teams in complex, multi-stakeholder environments
Expertise in cloud technologies, Linux, User Space, RDMA, DPDK, Kubernetes, cloud storage, and accelerated networking (InfiniBand, Ethernet).
Strong ability to translate customer and business insights into networking software solutions, with a focus on cloud providers, enterprises, integrators, and vendors.
Great balance of deep systems software knowledge with business acumen - equally fluent in API design tradeoffs and revenue/GTM conversations.
Proven success working with Enterprise clients and top Cloud Service Providers on product releases and large-scale AI deployments.
Advanced analytical and product/project management skills in dynamic, technical environments.
Excellent communication skills in both technical and business contexts.
Ways to Stand Out from the Crowd:
Strong background in Data Center networking, networking powered by artificial intelligence, storage, and security techniques.
Proven leadership in embedded software development, from networking infrastructure to application-level innovation.
Track record of growing developer ecosystems around a platform SDK - driving adoption metrics, community engagement, or ISV integrations.
Hands-on experience with DPU offload architecture, programmable networking pipelines, and NVIDIA technologies (CUDA, embedded solutions), with deep platform ecosystem knowledge.
Extensive product management experience in international organizations, prioritizing adaptability and cross-cultural collaboration with proven track record to monetize infrastructure software platforms, driving significant revenue growth.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Skills Required
- BSc/MSc in Computer Science, Software Engineering, or related field; or equivalent experience
- 15+ years product management experience in systems software or networking
- 5+ years leading product management teams and cross-functional leadership at scale
- Demonstrated experience leading and developing PM teams in complex, multi-stakeholder environments
- Expertise in cloud technologies, Linux, User Space, RDMA, DPDK, Kubernetes, cloud storage, and accelerated networking (InfiniBand, Ethernet)
- Ability to translate customer and business insights into networking software solutions for cloud providers, enterprises, integrators, and vendors
- Strong systems software knowledge paired with business acumen (API design and GTM/revenue conversations)
- Proven success working with enterprise clients and top Cloud Service Providers on product releases and large-scale AI deployments
- Advanced analytical and product/project management skills in dynamic, technical environments
- Excellent communication skills in both technical and business contexts
- Background in data center networking, AI-powered networking, storage, and security techniques
- Proven leadership in embedded software development and platform SDK ecosystem growth
- Hands-on experience with DPU offload architecture, programmable networking pipelines, and NVIDIA technologies (CUDA, embedded solutions)
- Extensive product management experience in international organizations with cross-cultural collaboration and monetizing infrastructure platforms
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”







