This role pays more than
91%
of similar roles. Most pay
$175,362–$225,175
— the shaded band above.
At the midpoint, this role pays about
$268k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
867 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 849 roles with salary data.
As a Technical Product Manager - AI Infra Resilience, you will join the team to drive the development of an open-source project focused on AI factory resilience. You will define the platform, own the product roadmap, and deliver critical features such as common telemetry interfaces, health-check contracts, attribution hooks, and observability APIs. Your daily work involves translating developer pain into features, collaborating with engineering on architecture tradeoffs, and engaging with the open-source community by prioritizing GitHub issues and gathering feedback. You will utilize expertise in data center operations, GPU infrastructure, network and storage, Kubernetes container orchestration, and developer platforms to solve problems related to making AI factories adaptable across various architectures and hardware generations. The role requires proficiency in creating developer-facing APIs, SDKs, and CLIs while managing the technical complexities of large-scale infrastructure observability and reliability.
What does a Technical Product Manager earn?
Median $174950 from 31 postings across 15 companies.
Define the resilience platform and own the product roadmap for specific features like telemetry interfaces and observability APIs.
Translate developer pain points into actionable product features and integration partnerships.
Manage the open-source project by prioritizing GitHub issues and gathering feedback from the contributor community.
Work with engineering teams to manage feature design, prioritization, execution, and architecture tradeoffs.
Align cross-functionally with marketing and field teams on requirements, messaging, and engagement strategies.
Build infrastructure underpinnings that ensure AI factory resilience across diverse architectures and hardware generations.
What we're looking for
12+ years of experience in product management, solutions architecture, or software engineering on a technical product.
Bachelor's degree in Computer Science or equivalent experience.
Technical depth in at least two areas: data center operations, GPU infra, networking and storage, Kubernetes, developer platforms, or agent frameworks.
Proven ability to connect with senior technical customers and translate requirements into product strategy.
Strong written and verbal communication skills for both developer and executive audiences.
Experience building products for data center infrastructure operations and observability (preferred).
Practical experience delivering or contributing to an open-source product, including interacting with contributors on GitHub (preferred).
Experience crafting developer-facing APIs, SDKs, or CLIs at scale; or a background as an SRE (preferred).