N
Not Specified Permanent

San Jose, California · USA job

Senior Customer Success Engineer - DGX Cloud

Nvidia

San Jose, California

Job description

Overview

As a Customer Success Manager for DGX Cloud, you partner with internal customers to drive onboarding, adoption, and long-term platform success. You translate workloads and business needs into scalable cloud and AI infrastructure solutions, shaping how NVIDIA teams build and scale. You'll turn common customer needs into reusable playbooks, tooling, and operating patterns to improve adoption and efficiency. This role blends customer success, technical consulting, and operational problem-solving to deliver rapid value and strong cross-functional collaboration.

Compensation / Benefits
  • equity
  • benefits
  • remote-friendly
  • competitive salary
  • opportunity to impact AI infrastructure
  • flexible work arrangements
Responsibilities
  • Partner with internal customers across the full lifecycle of DGX Cloud usage to drive adoption and value realization
  • Translate workload, business, and technical requirements into scalable recommendations across compute, networking, storage, and cloud environments
  • Create reusable playbooks, tooling, dashboards, and operating patterns to reduce friction and accelerate delivery
  • Collaborate with Engineering, Product, Operations, and Finance to surface customer insights and influence roadmap and infrastructure planning
  • Guide customers through architecture reviews, performance tuning, and cloud portability decisions for AI/ML workloads
  • Leverage data and operational signals to identify risks and opportunities to improve DGX Cloud support and demand planning
  • Contribute lightweight automation or code to accelerate delivery and day-to-day operations
Key requirements
  • BS or MS in Computer Science, Engineering, or related field; or equivalent experience
  • 12+ years in customer-facing infrastructure roles (customer success, solutions architecture, cloud engineering, or similar)
  • Hands-on cloud infrastructure knowledge across compute, networking, storage, and deployment patterns (public cloud and on-premises)
  • Experience 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 communication
  • Experience using data/operational signals to drive adoption and improve workflows or product outcomes
  • Knowledge of at least one programming or scripting language (Python, Go, or shell)
  • Track record in fast-moving/ambiguous environments and driving issue resolution
  • strong written and verbal communication
  • executive communication and stakeholder management
  • cross-functional collaboration
  • cloud infrastructure (compute, networking, storage)
  • Kubernetes and distributed systems
  • cloud portability and performance tuning

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