The Customer Success Manager role at NVIDIA's DGX Cloud team focuses on partnering with internal customers to enhance their experience with the DGX Cloud platform. This position combines elements of customer success, technical consulting, and operational problem-solving. The role is ideal for candidates who can translate complex infrastructure into practical outcomes, helping customers achieve value quickly and build long-term trust. The work directly influences how NVIDIA teams build and scale their AI infrastructure.

• 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.

• 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.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.