The DGX Cloud organization bridges customer success and cloud infrastructure engineering, partnering directly with NVIDIA's internal research and product teams to accelerate AI workload development. As a Customer Success Engineer, you'll embed deeply with internal customers — gaining a thorough understanding of their applications and translating that knowledge into architectural guidance, best practices, and hands-on solutions. This role sits at the unique intersection of solutions architecture and platform strategy: you'll write code, build tooling, and help shape NVIDIA's GPU capacity management from the inside. Working across Engineering, Product, Finance, and Operations, you'll connect infrastructure roadmaps to business needs in a way that directly influences how NVIDIA's most advanced AI teams move faster. If you thrive where deep technical work meets high-stakes collaboration, this role was built for you.
What you’ll be doing:
Design and implement distributed cloud infrastructure at scale — spanning compute, storage, networking, and GPU capacity management across IaaS, PaaS, and SaaS models zendesk
Partner with internal research and product teams to understand workloads from both a technology and business perspective, providing architectural guidance that drives their success
Contribute code directly when needed to move projects forward, and codify working patterns into tools, playbooks, and building blocks that others can reuse
Build and maintain agentic tooling to automate operational workflows and infrastructure resource management
Analyze the DGX Cloud ecosystem to understand current customer demand and future capacity needs, driving infrastructure efficiency initiatives in partnership with Engineering, Finance, and Product
Present technical roadmaps, architecture decisions, and demos to internal stakeholders and NVIDIA leadership, driving cross-functional consensus on infrastructure strategy
What we need to see:
BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
12+ years of experience designing and building distributed systems and cloud infrastructure, with demonstrated experience in GPU capacity management for high-performance computing
Demonstrated ability to write production code in Golang, Java, C, C++, Python, or Rust
Experience with Kubernetes and/or distributed task scheduling
Strong background in Infrastructure, Networking, Storage, and DevOps scripting/tooling
Experience deploying AI/ML workloads at scale
Strong communication and relationship-building skills, with a demonstrated ability to drive cross-functional consensus and align stakeholders across departments
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us.
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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 an inclusive 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
- BS or MS in Computer Science, Engineering, or related field, or equivalent experience
- 12+ years experience in customer success, solutions architecture, cloud engineering, technical account management, or similar customer-facing infrastructure role
- Strong hands-on knowledge of cloud infrastructure including compute, networking, storage, and deployment patterns across public cloud and on-prem environments
- Experience working with distributed systems, Kubernetes, schedulers, or large-scale platform infrastructure
- Ability to translate customer goals into technical solutions and influence cross-functional teams through strong written and verbal communication
- Experience using data, operational signals, or customer feedback to drive decisions and improve adoption
- Working knowledge of at least one programming or scripting language such as Python, Go, or shell scripting
- Track record of operating effectively in fast-moving or ambiguous environments and driving issues through resolution
- Experience supporting AI, ML, or HPC workloads in cloud or hybrid environments
- Background in GPU capacity planning, performance optimization, or infrastructure utilization
- Experience building automations, internal tools, or agentic workflows that improve customer operations at scale
- Strong executive communication skills, including presenting recommendations, trade-offs, and roadmap inputs
- History of turning customer pain points into repeatable processes, product improvements, or measurable operational gains
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.
NVIDIA Insights
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.”
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