Senior Technical Product Manager, Infrastructure Resilience

NVIDIA

. Own the product vision, roadmap, and delivery priorities for AI infrastructure resilience, partnering with engineering on architecture and execution .

Posted 10/13/2026full-timeSanta Clara • California • United StatesSenior💰 $208,000 - $327,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI infrastructure resilience, GPU cluster operations, and product management, with a strong focus on translating technical requirements into platform capabilities. Proven ability to lead open-source projects and engage with technical communities to enhance developer experience and operational efficiency.

Highest-signal resume keywords

AI Infrastructure ResilienceGPU Cluster OperationsProduct ManagementOpen-Source ContributionTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GPU InfrastructureAI Workload Failure AnalysisGPU SchedulingLog Analysis PipelinesObservability APIsHealth Verdict SchemasNCCL TimeoutsDCGM MetricsKubernetes-Native SchedulerStructured Diagnostics

Soft Skills

Strong Written CommunicationVerbal Communication

Tools & Technologies

SlurmKueueGitHub

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Site Reliability EngineeringTechnical Infrastructure ProductsOpen-Source SoftwareEcosystem PartnershipsDeveloper Adoption

Tech Stack

Tools & technologies

CloudKubernetesNode.js

About the role

Key responsibilities & impact

Own the product vision, roadmap, and delivery priorities for AI infrastructure resilience, partnering with engineering on architecture and execution
Work with customers and partners to identify gaps in GPU cluster operations and define platform capabilities
Help operators assess node readiness and distinguish hardware failures from application failures
Shape which operational signals are available through public interfaces or extensions requiring additional access
Translate cloud partner and cluster operator requirements into platform capabilities
Lead community engagement for open-source platform projects, including contribution models, ecosystem partnerships, and developer adoption
Own AI infrastructure resilience platform capabilities and developer experience, including GPU node health contracts and interfaces, workload failure attribution, and open-source software for operators and cloud partners
Work directly with engineering and operations communities that deploy and extend the software
Contribute to NVIDIA's open, modular infrastructure software for designing, operating, and optimizing AI factories at scale

Requirements

What you’ll need

12+ years of experience across product management, solutions architecture, software engineering, or site reliability engineering on technical infrastructure products
Technical depth in GPU or AI infrastructure is required
Knowledge of GPU failure modes: XID codes, ECC correctable and uncorrectable errors, DCGM metrics, NVLink and PCIe health signals
Understanding of AI workload failures and GPU node unavailability, including NCCL timeouts, framework errors, hardware versus application faults, scheduler health and drain behavior, and DCGM, sysfs, and dmesg signals
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
Hands-on site reliability or infrastructure engineering experience supporting GPU clusters
Experience with GPU scheduling, topology-aware placement, or multi-tenant GPU cluster management, including Slurm prolog/epilog, Kueue, or Kubernetes-native scheduler environments
Experience building structured diagnostics or attribution products, such as health verdict schemas, log analysis pipelines, rules-engine systems, or observability APIs at data center scale
Practical experience delivering or contributing to an open-source infrastructure project, including managing contributor engagement on GitHub

Benefits

Comp & perks

Equity
Extensive benefits package