Senior Customer Success Engineer - DGX Cloud

Details

The DGX Cloud organization is looking for passionate engineers to partner closely with our internal customers and assist them in onboarding to our platforms. This partnership requires gaining a deep understanding of customer needs and their applications, and helping develop best practices to ensure success in a cloud environment. The information you provide will help shape the platform to better serve both internal and external customers.

We expect you to have expert knowledge with cloud-based deployments across compute, storage, and networking environments. You should have a strong understanding of application portability between CSPs, NCPs, and on-premises environments, and know how to simplify application requirements to enable portability. Familiarity with open source technologies that assist with cloud deployments is required, and a strong AI/ML background with the ability to improve workload performance is a plus.

Responsibilities

• Partner with multiple internal teams to fully understand their workloads from both a technology and business perspective; provide guidance, give feedback to engineering and product teams, and develop solutions to aid in their success.
• Inform partner teams of standard methodologies and help implement best practices for cloud-based solutions.
• Gain deep understanding of how NVIDIA develops across multiple verticals (autonomous vehicles, chip manufacturing, HW design, AI, etc.).
• Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, and demos.
• Advocate for customer needs (both internal and external) across the organization – partnering closely with Engineering, Product, Program, Sales, and Operations.
• Bring the voice of the customer to everything that you do.

Requirements

• BS/MS degree in Computer Science or related areas (or equivalent experience).
• 12+ years of experience designing and building distributed systems and infrastructure.
• Demonstrated ability to write code in 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 (databases, file, block, blob).
• Demonstrated ability to reach cross-functional consensus without all the details.
• Strong bias towards action and ability to drive to resolution cross-functionally.

Ways to stand out

• Strong background in optimization of AI workloads.
• Knowledge of software interface design for less-technical end-users.
• Experienced, persuasive and effective presentation skills (written and verbal).
• Demonstrated skills in leadership, communication, coaching, analysis, problem solving and short/long term planning.
• Excellent interpersonal and organizational skills and ability to handle diverse situations.

Compensation & Other Details

• Base salary range: 200,000 USD - 322,000 USD (determined based on location, experience, and pay of employees in similar positions).
• Eligible for equity and benefits.
• Applications accepted at least until September 23, 2025.
• Location: US, Canada, and Remote. #LI-Hybrid

About NVIDIA

NVIDIA leads 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. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.