NVIDIA
Technology
SeniorTechnicalProgramManager,DGXCloudSoftwareProductsandServices
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“Senior Technical Program Manager, DGX Cloud Software Products and Services at NVIDIA. Skills: Technical Program Management, Resilience, Reliability, Operational Scale, Cloud Infrastructure, AI Training Environments. Lead strategic programs emphasizing resilience, reliability, and goodput. Drive improvements in resilience, service stability, and operational scale”
What You'll Achieve.
improve resilience, reliability, and goodput; driving improvements in resilience, service stability, and operational scale; deliver fault-tolerant, high-availability training and inference environments at scale; improve end-to-end service stability; strengthen service readiness and recovery; facilitating reusable and extensible capabilities across the platform; improve observability, failure detection and attribution, root cause analysis, recovery orchestration, and operational readiness; increase usable fleet capacity, workload efficiency, and customer outcomes at scale; track program health, reliability posture, operational maturity, and performance
Industry & Context.
analytical skills with the ability to assess issues across infrastructure, software, and operational layers; problem-solving skills
What They're Looking For.
Must Have
MS EE or CS degree, or equivalent experience, 8+ years of experience in program management of large-scale software or infrastructure projects, Proven track record of leading complex cross-functional programs in cloud, infrastructure, distributed systems, or platform environments, analytical skills with the ability to assess issues across infrastructure, software, and operational layers, Excellent organizational skills, Solid understanding of reliability engineering, resilience development, and service performance metrics, including goodput, efficiency, and utilization, Experience working alongside engineering, SRE, operations, and technical collaborators to advance projects in ambiguous, high-complexity environments, Outstanding communication and presentation skills for diverse technical and non-technical audiences with problem-solving and conflict management skills
Nice to Have
Background in computer science, machine learning, deep learning, open-source software, and GPU technology, AI infrastructure, or large-scale compute platforms, Experience with large-scale AI training environments (e.g., distributed training frameworks, checkpointing, NCCL, Slurm or other schedulers), Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training and evaluating AI models, Proven ability to harness AI-enabled workflows and tools to improve program management efficiency, decision-making, execution visibility, and operational efficiency
What You'll Do.
Lead strategic programs emphasizing resilience
Drive improvements in resilience
and operational scale
Guide architectural decisions related to resilience reference architecture
Lead programs spanning DGXC infrastructure
and core platform services to deliver fault-tolerant
high-availability training and inference environments at scale
Develop scalable resilience strategies
Improve operational performance
Assist in building open
modular software components and reference stacks for DGX Cloud at scale
Lead cross-functional programs that improve resilience
and fleet-wide goodput across DGX Cloud
Drive the definition and adoption of resilience reference stacks
operational standards
and scalable guidelines that strengthen service readiness and recovery
Support the development and delivery of open
modular software components for resilience
facilitating reusable and extensible capabilities across the platform
Build and scale resilience tooling and operational mechanisms that improve observability
failure detection and attribution
recovery orchestration
and operational readiness
using data-driven insights to increase usable fleet capacity
and customer outcomes at scale
Establish clear metrics
and operating cadences to track program health
How You'll Work.
Team & Collaboration
Collaboration across multiple teams; Partner across infrastructure, platform, site reliability, operational, and tenant teams to identify systemic risks, resolve cross-stack dependencies, and improve end-to-end service stability; Partner with engineering teams and researchers to support the development and delivery of open, modular software components for resilience; Work closely with engineering, SRE, operations, and researchers to develop scalable resilience strategies, improve operational performance, and assist in building open, modular software components and reference stacks for DGX Cloud at scale; Experience working alongside engineering, SRE, operations, and technical collaborators to advance projects in ambiguous, high-complexity environments
Communication Scope
Outstanding communication and presentation skills for diverse technical and non-technical audiences
Process & Methodology
program management of large-scale software or infrastructure projects, leading complex cross-functional programs, project management tools (e.g. Jira, Aha!, Confluence), program health, operating cadences
Full Job Description
NVIDIA's DGX Cloud (DGXC) powers AI for strategic research and product workloads. The company seeks an expert Technical Program Manager (IC5) to lead strategic programs emphasizing resilience, reliability, and goodput. This role requires collaboration across multiple teams. It involves driving improvements in resilience, service stability, and operational scale. The TPM also guides architectural decisions related to resilience reference architecture. The TPM leads programs spanning DGXC infrastructure, Resilience Tools, and core platform services to deliver fault-tolerant, high-availability training and inference environments at scale. We are looking for a TPM who is analytical, technically skilled, and comfortable working with cloud infrastructure, software, operations, and environments driven by data and research. You will work closely with engineering, SRE, operations, and researchers to develop scalable resilience strategies, improve operational performance, and assist in building open, modular software components and reference stacks for DGX Cloud at scale. **What You 'll Be Doing:** * Lead cross-functional programs that improve resilience, reliability, operational scale, and fleet-wide goodput across DGX Cloud. * Partner across infrastructure, platform, site reliability, operational, and tenant teams to identify systemic risks, resolve cross-stack dependencies, and improve end-to-end service stability. * Drive the definition and adoption of resilience reference stacks, operational standards, and scalable guidelines that strengthen service readiness and recovery. * Partner with engineering teams and researchers to support the development and delivery of open, modular software components for resilience, facilitating reusable and extensible capabilities across the platform. * Build and scale resilience tooling and operational mechanisms that improve observability, failure detection and attribution, root cause analysis, recovery orchestration, and operational read
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