Senior Customer Success Engineer - DGX Cloud

NVIDIA’s DGX Cloud team helps some of the most advanced AI builders in the world move from idea to production faster. This Customer Success Manager role sits close to internal customers and acts as a strategic partner across onboarding, adoption, workload performance, and long-term platform success. The work is part customer success, part technical consulting, and part operational problem-solving, making it a strong fit for candidates who enjoy translating complex infrastructure into practical outcomes.

Customer Success Managers are typically most effective when they help customers achieve value quickly, build long-term trust, and bring customer insights back into the business to improve the product experience. This role is especially compelling because it combines customer partnership with cloud architecture, AI infrastructure, and resource planning in an environment where the work directly shapes how NVIDIA teams build and scale. Clear, familiar job titles and concise qualification lists also improve job-posting effectiveness and help attract the right candidates.gainsight

What you’ll be doing:

• Partner with internal customers across the full lifecycle of their DGX Cloud usage, helping teams adopt the platform, remove blockers, and get faster time to value.zendesk

• Translate workload, business, and technical requirements into scalable recommendations across compute, networking, storage, and cloud environments.

• Turn repeat customer needs into reusable playbooks, tooling, dashboards, and operating patterns that improve adoption and reduce friction.gainsight

• Work across Engineering, Product, Operations, and Finance to surface customer insights, influence roadmap decisions, and improve infrastructure planning and GPU resource efficiency.gainsight+1

• Guide customers through architecture reviews, performance tuning, and cloud portability decisions for AI and machine learning workloads.

• Use data, usage signals, and operational trends to identify risks, spot opportunities, and improve how DGX Cloud supports current and future demand.zendesk

• Contribute lightweight automation or code when needed to accelerate delivery and improve day-to-day operations.

What we need to see:

• BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.

• 12+ years of experience in customer success, solutions architecture, cloud engineering, technical account management, or a 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.gainsight

• Experience using data, operational signals, or customer feedback to drive decisions, improve adoption, and shape better workflows or product outcomes.zendesk

• 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.

Ways to stand out from the crowd:

• 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.gainsight

• Strong executive communication skills, including the ability to present recommendations, trade-offs, and roadmap inputs clearly.

• History of turning customer pain points into repeatable processes, product improvements, or measurable operational gains.

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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Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.Applications for this job will be accepted at least until August 2, 2026.

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.