Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

NVIDIA is driving a vision for AI factories that convert tokens to intelligence at scale to power AI demands of tomorrow. Maintaining AI infrastructure at scale demands smart automation. The orchestration engine for AI factory break-fix runs live in production at DGX Cloud. As the Product Manager leading all aspects of resilient automation at AI Factory, you will manage break-fix automation, develop the product strategy, improve operator experience, and guide the roadmap for professionals. You will build a scalable, reliable product from a strong engineering foundation that NVIDIA Cloud Partners depend on to uphold their SLAs. This is your chance to compose how AI factories self-heal!

Responsibilities

Take full responsibility for the strategic direction and roadmap of the break-fix automation system spanning multiple vendors, technologies, and CSPs.
Define automation confidence thresholds, blocking issue criteria, and human-in-the-loop intervention points that balance speed with operational safety.
Build the operator UX for repair queues, workflow transparency, and audit trails — ensuring on-call engineers have the context they need to act quickly and confidently.
Drive the integration between failure attribution and automated repair actions, following through from detection to resolution.
Define repair SLOs and own the metrics framework for time-to-drain, time-to-healthy, and overall fleet availability.
Collaborate with NCP operators, SRE teams, and hardware vendor partners to integrate RMA processes and optimize repair workflows at scale.

Requirements

15+ years of product management experience in infrastructure, platform, or MLOps areas, or equivalent background.
BS or MS in Computer Science, Engineering, or a related technical area, or equivalent experience.
Demonstrated expertise with distributed systems, workflow orchestration, and the safety tradeoffs inherent in automation.
Track record owning products with real-world operational consequences — you understand blast radius and build accordingly.
Strong operator UX instincts — proven ability to translate complex system state into workflows that on-call engineers can act on under pressure.
Ability to build alignment across engineering, SRE, and external vendor partner teams.

Skills

GPU infrastructure
Datacenter operations
AI factory environments
RMA logistics
Vendor SLA oversight
Hardware repair processes
Reliability engineering
SLO build
Chaos/fault-injection testing
Cloud service provider infrastructure
Hyperscalers infrastructure
Agentic AI workflow software

Location

Hybrid

Work Type

Full-time

Experience Level

15+ years

Education Level

BS or MS in Computer Science, Engineering, or a related technical area, or equivalent experience.

Salary/Compensations

240,000 USD - 379,500 USD

Benefits

Equity
Comprehensive benefits package

About the Company

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Equal Opportunity

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
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.