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 readiness.
Define, measure, and improve goodput, using data-driven insights to increase usable fleet capacity, workload efficiency, and customer outcomes at scale.
Establish clear metrics, dashboards, and operating cadences to track program health, reliability posture, operational maturity, and performance.
What we need to see:
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.
Strong analytical skills with the ability to assess issues across infrastructure, software, and operational layers.
Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git).
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 strong problem-solving and conflict management skills.
Ways To Stand Out From The Crowd:
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.
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- MS in Electrical Engineering or Computer Science 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
- Strong analytical skills
- Excellent organizational skills
- Solid understanding of reliability engineering and resilience development
- Experience working alongside engineering, SRE, and operations teams
- Outstanding communication and presentation skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
