Senior Customer Success Engineer - DGX Cloud

Details

The DGX Cloud organization is looking for passionate engineers to partner closely with internal customers and assist them in onboarding to NVIDIA platforms. You will gain a deep understanding of customer needs and applications, help develop best practices for cloud environments, and provide feedback that shapes the platform for both internal and external customers.

Responsibilities

• Partner with multiple internal teams to understand workloads from both technical and business perspectives.
• Provide guidance and feedback to engineering and product teams and develop solutions to help partner teams succeed.
• Inform partner teams of standard methodologies and implement best practices for cloud-based solutions.
• Gain deep understanding of how NVIDIA develops across multiple verticals (autonomous vehicles, chip manufacturing, hardware design, AI, etc.).
• Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, and demos.
• Advocate for customer needs (internal and external) across Engineering, Product, Program, Sales, and Operations.
• Bring the voice of the customer to platform and product decisions.

Requirements

• BS/MS degree in Computer Science or related area, or equivalent experience.
• 12+ years of experience designing and building distributed systems and infrastructure.
• Demonstrated ability to write code in one or more of: Golang, Java, C, C++, Python, Rust.
• Experience with Kubernetes and/or distributed task scheduling systems.
• Strong background in Infrastructure, Networking, Storage, and DevOps scripting/tooling.
• Experience deploying AI/ML workloads and familiarity with optimizing AI workloads (preferred).
• Understanding of data storage technologies (databases, file, block, blob).
• Demonstrated ability to reach cross-functional consensus without all details and to drive resolution across teams.

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 leadership, communication, coaching, analysis, problem solving, and planning skills.
• Excellent interpersonal and organizational skills and ability to handle diverse situations.

Compensation & Benefits

• Base salary range: 200,000 USD - 322,000 USD (determined by location, experience, and internal pay equity).
• Eligible for equity and benefits (see NVIDIA benefits page).

Other details

• Location: US, CA, Remote (hybrid/remote options noted). #LI-Hybrid
• Job type: Full time
• Applications accepted at least until September 23, 2025.

Technologies & Skills Mentioned

Cloud deployments, compute, storage, networking, CSPs/NCPs/on-premise portability, open-source technologies for cloud deployments, Golang, Java, C, C++, Python, Rust, Kubernetes, distributed task scheduling, infrastructure, networking, storage, DevOps tooling/scripting, AI/ML workloads, data storage (databases, file, block, blob).