Jobs / United States / Nvidia Corporation

Nvidia Corporation

Director, Product Management – DOCA

3 Locations Posted today

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Skills this job asks for

Product managementNetworkingMicroservicesLeadershipLinuxKubernetesProject managementCommunication

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Nvidia Corporation paid sponsored hires in similar roles11 certified filings for “Program Manager” (Project Management Specialists) in CA: $179k–$200k, median $200k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Nvidia Corporation paid sponsored hires in similar roles
11 certified filings for “Program Manager” (Project Management Specialists) in CA: $179k–$200k, median $200k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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

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