Technical Product Manager - Enterprise Products

Enjoy writing code and engineering networks while defining product direction? Join us as a Technical Product Manager for Enterprise Products! In NVIDIA’s Enterprise Product Group, we help enterprise and community developers use NVIDIA software and hardware across cloud and on-premises environments. Combine product leadership with hands-on development, network architecture, and DevOps to build APIs, interface layers, and integrations across our developer portfolio.
We collaborate with developers, strategic partners, cloud providers, and NVIDIA engineering teams to deliver supported solutions:
Balance NVIDIA’s priorities, developer feedback, market and community trends, adoption data, and engineering constraints.
Design and implement data center and hybrid-cloud networks. validate capacity, performance, tenant isolation, and failover.
Write API integrations, network automation, and reference implementations in Python, Go, or a comparable language. Develop self-service provisioning and lifecycle workflows with infrastructure as code, GitOps, CI/CD, configuration drift detection, and rollback. Deploy and troubleshoot Linux and Kubernetes services; trace connectivity across physical networks, virtual infrastructure, containers, and application endpoints.
Measure adoption, provisioning time, availability, and network performance. Partner with security teams on identity, least privilege, tenant access, and data governance.
Define acceptance criteria, document architectures and integration patterns, and transition validated services to sustainment engineering with runbooks and tested recovery procedures. We value technical product leaders who translate customer problems into roadmaps, prioritize work, and coordinate delivery with engineering and partners.
~12+ years building and shipping enterprise software, hardware, or platform infrastructure, with ownership of requirements and delivery outcomes.
~ Experience designing and operating networks with TCP/IP, BGP, routing, switching, high availability, firewalls, VPNs, DNS, DHCP, and NAT.
~ Experience writing, testing, and maintaining code, developing and managing APIs, and automating infrastructure. We need practical DevOps experience with Linux, Kubernetes, Git, CI/CD, infrastructure as code, and observability. A degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

Familiarity with LLMs, RAG, and generative AI, open-source contributions, or research publications can demonstrate additional expertise
We value AWS or Azure networking, leaf-spine fabrics, EVPN/VXLAN, SD-WAN, Helm, GitOps, and observability tools such as Prometheus or Grafana. GPU, DPU, ARM, InfiniBand, RoCE, and NVIDIA experience also helps.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 15, 2026.

NVIDIA uses AI tools in its recruiting processes.
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.