NVIDIA's DGX Cloud team is seeking an experienced Technical Program Manager (IC5) to lead strategic programs focused on enhancing resilience, reliability, and operational scale for AI workloads. This role involves collaborating with cross-functional teams including engineering, SRE, operations, and researchers to develop scalable resilience strategies, improve service stability, and build modular software components. The TPM will drive the adoption of resilience reference stacks and operational standards while improving observability and failure detection mechanisms. Key responsibilities include defining metrics for goodput and fleet-wide performance, and working with cloud infrastructure and distributed systems to ensure high-availability training environments at scale. Ideal candidates have an MS in EE or CS, 8+ years of program management experience in complex technical projects, strong analytical skills, and proficiency in tools like Jira and Git. Experience with AI infrastructure, large-scale compute platforms, and distributed training frameworks is essential for this role that demands a deep understanding of reliability engineering and service performance metrics.
Skills
Jira
Aha!
Confluence
Git
Distributed version control systems
Reliability engineering
Resilience development
Service performance metrics
Goodput
Efficiency
Utilization
Distributed training frameworks
Checkpointing
NCCL
Slurm
AI infrastructure
Large-scale compute platforms
CI/CD
What you'll do
Lead cross-functional programs to enhance resilience and reliability across DGX Cloud infrastructure.
Identify systemic risks and resolve dependencies to improve end-to-end service stability.
Drive adoption of resilience reference stacks and operational standards for service readiness.
Develop open, modular software components with engineering teams for scalable resilience.
Build tooling to improve observability and root cause analysis in failure scenarios.
Define metrics and dashboards to track program health and reliability posture continuously.
Improve fleet-wide goodput using data-driven insights to enhance customer outcomes at scale.
What we're looking for
8+ years of program management experience in large-scale software or infrastructure projects
Proven track record leading complex cross-functional programs in cloud or platform environments
Strong analytical skills to assess issues across infrastructure, software, and operational layers
Solid understanding of reliability engineering, resilience development, and service performance metrics
Experience working with engineering, SRE, operations, and technical collaborators in ambiguous environments
Outstanding communication and presentation skills for diverse audiences with strong problem-solving abilities
Background in computer science, machine learning, deep learning, or GPU technology
Market check
Salary context
This
$168,000–$258,750
range sits above
62%
of similar postings on FindRole.
Peer median band
$140,270–$234,875
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$151,475–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.