below marketmost similar roles pay hereabove market
This role pays more than
90%
of similar roles. Most pay
$177,250–$232,887
— the blue band above.
At the midpoint, this role pays about
$268k
versus about
$205k
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
1531 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1104 roles with salary data.
JOB TITLE: Senior Technical Product Manager, Infrastructure Resilience
The Senior Technical Product Manager, Infrastructure Resilience joins the team to own the product vision, roadmap, and delivery priorities for AI infrastructure resilience platform capabilities and developer experience. You will work with engineering and operations teams to translate operational requirements from cloud partners and cluster operators into platform capabilities. Key responsibilities include defining GPU node health contracts, workload failure attribution, and managing open-source software projects. You must possess technical depth in GPU infrastructure, specifically regarding failure modes like XID codes, ECC errors, DCGM metrics, NVLink, and PCIe health signals. You will also interpret signals from sysfs and dmesg to distinguish hardware from application faults. The role focuses on building software that helps operators understand why AI workloads fail and keep GPU clusters ready for work.
What does a Technical Product Manager earn?
Median $171150 from 43 postings across 21 companies.
Own the product vision, roadmap, and delivery priorities for AI infrastructure resilience capabilities.
Partner with engineering to define architecture and execution for GPU node health contracts and interfaces.
Identify operational gaps in GPU clusters by working directly with customers and cloud partners.
Define platform capabilities to help operators distinguish between hardware failures and application failures.
Translate operational requirements from cluster operators into specific platform features and capabilities.
Lead community engagement and contribution models for open-source platform projects.
Shape the signals available through public interfaces and extensions for infrastructure operators.
What we're looking for
12+ years of experience in 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 including XID codes, ECC errors, DCGM metrics, NVLink, and PCIe health signals.
Understanding of AI workload failures, distributed training failures, scheduler health, and interpreting signals from DCGM, sysfs, and dmesg.
Demonstrated ability to work with senior technical customers and translate operational requirements into product decisions.
Strong written and verbal communication skills across technical and non-technical audiences.
Bachelor's degree in Computer Science or equivalent experience.
Hands-on experience as a site reliability or infrastructure engineer supporting GPU clusters (preferred).
Remote (Santa Clara, CA)+153 days ago
$184,000–$287,500
Kubernetes
Python
Go
Prometheus
Grafana
OpenTelemetry
InfiniBand
RoCE
CUDA
NVLink
NVSwitch
Linux
Site Reliability Engineering
Configuration Management
Shell Scripting
Distributed Systems
SLOs
GPU Operator