Technical Product Manager – AI Infrastructure Resilience

NVIDIA

. Drive the product vision, roadmap, and delivery for workload failure attribution .

Posted 11/3/2026full-timeUnited StatesSeniorLead💰 $208,000 - $379,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management and solutions architecture for GPU and AI infrastructure, with a strong focus on workload failure attribution and community engagement in open-source projects. Proven ability to translate complex operational requirements into actionable product strategies while collaborating effectively with technical teams and stakeholders.

Highest-signal resume keywords

Product ManagementGPU Infrastructure ExpertiseOpen-Source Project ContributionTechnical CommunicationFailure Attribution Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Workload Failure AttributionGPU Failure ModesAI Workload FailuresTelemetry SystemsStructured DiagnosticsAttribution ProductsDistributed Training Failure PatternsGPU SchedulingMulti-Tenant GPU Cluster ManagementSlurm Prolog/Epilog

Soft Skills

Strong Written CommunicationStrong Verbal Communication

Tools & Technologies

DCGMKubernetesKueueGitHub

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Technical Infrastructure ProductsOperational TriageCommunity Engagement StrategyEcosystem PartnershipsDeveloper Adoption

Tech Stack

Tools & technologies

CloudKubernetes

About the role

Key responsibilities & impact

Drive the product vision, roadmap, and delivery for workload failure attribution
Collaborate with engineering on architecture and prioritization
Identify customer and partner gaps in triaging GPU cluster failures at scale
Define attribution capabilities distinguishing hardware, system software, and application faults
Determine which signals belong in a public API versus an entitled runtime extension
Work with cloud partners and cluster operators to translate operational triage requirements into platform capabilities
Drive community engagement strategy for the open-source attribution project
Develop contribution models, ecosystem partnerships, and developer adoption
Own workload failure attribution within NVIDIA's DSX Platform

Requirements

What you’ll need

12+ years total experience
5+ years in product management, solutions architecture, software engineering, or site reliability engineering on technical infrastructure products
Technical depth on GPU or AI infrastructure
Familiarity with GPU failure modes: XID codes, ECC correctable and uncorrectable errors, DCGM metrics, NVLink and PCIe health signals
Technical understanding of AI workload failures, distributed training failure patterns, and telemetry systems including DCGM, sysfs, and dmesg
Ability to work with senior technical customers and translate operational requirements into product decisions
Strong written and verbal communication across technical and non-technical audiences
Bachelor's degree in Computer Science or equivalent experience
Familiarity with GPU scheduling, topology-aware placement, or multi-tenant GPU cluster management
Experience with Slurm prolog/epilog, Kueue, or Kubernetes-native scheduler environments
Experience building structured diagnostics or attribution products
Practical experience delivering or contributing to an open-source infrastructure project, including managing contributor engagement on GitHub

Benefits

Comp & perks

Equity
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