Senior Customer Success Engineer - DGX Cloud

NVIDIA•Us, CA

1d•Remote

About The Position

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.

Requirements

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

Nice To Haves

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 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.

Responsibilities

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.
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.
Work across Engineering, Product, Operations, and Finance to surface customer insights, influence roadmap decisions, and improve infrastructure planning and GPU resource efficiency.
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.
Contribute lightweight automation or code when needed to accelerate delivery and improve day-to-day operations.