Senior Customer Success Engineer - DGX Cloud

Nvidia6 months ago
Mesa, AZ, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

NVIDIA’s DGX Cloud organization is seeking a Cloud Engineer to partner closely with internal teams and customers. In this role, you will work to understand customer workloads, provide guidance on cloud-based deployments, and help shape our platforms for success. Your expertise in compute, storage, and networking—as well as your familiarity with open source technologies, application portability, and AI/ML solutions—will be critical to driving innovative cloud strategies.

Key Responsibilities

  • Partner with multiple internal teams to understand workloads from both technology and business perspectives, providing guidance and actionable solutions.
  • Advise partner teams on standard methodologies and implement best practices for cloud-based solutions.
  • Develop a deep understanding of NVIDIA’s varied verticals including autonomous vehicles, chip manufacturing, hardware design, and AI.
  • Present roadmaps, visions, and demos to internal stakeholders and NVIDIA leadership.
  • Advocate for customer needs by collaborating with Engineering, Product, Program, Sales, and Operations teams.
  • Continuously bring the voice of the customer into every aspect of your work.

Required Qualifications

  • BS/MS degree in Computer Science or a related field, or equivalent experience.
  • 12+ years of experience designing and building distributed systems and infrastructure.
  • Proven ability to write code in languages such as 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.
  • Understanding of data storage technologies including databases, file, block, and blob.
  • Ability to reach cross-functional consensus and demonstrate a strong bias toward action.

Preferred Qualifications

  • Strong background in the optimization of AI workloads.
  • Knowledge of software interface design for less technical end-users.
  • Effective and persuasive presentation skills, both written and verbal.
  • Demonstrated leadership, communication, coaching, and problem solving skills, with a keen sense for short- and long-term planning.
  • Excellent interpersonal and organizational abilities to handle diverse situations.

Benefits & Perks

  • Compensation: Base salary range of 200,000 USD - 322,000 USD, determined by location, experience, and comparable positions.
  • Eligible for equity participation.
  • Benefits: Comprehensive benefits package.
  • Inclusion in a diverse and forward-thinking work environment, with acceptance of applications until September 23, 2025.

Required Skills

Networking
Storage solutions
Rust
C++
Python
Cloud-based deployments
Application portability
Java
AI/ML workload deployment
Infrastructure management
Golang
C
Cross-functional communication
Presentation skills
Kubernetes
Open source technologies
Distributed systems and infrastructure
DevOps scripting