Senior AI Cloud Solutions Engineer - Remote

2100 NVIDIA USA; United States; Remote; USD 200,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA DGX Cloud seeks a Customer Success Engineer to embed with internal customers, translating detailed application knowledge into architectural guidance, hands-on solutions, and scalable infrastructure strategies.

You will design and implement distributed cloud infrastructure, build tooling, and contribute code while collaborating with research, product, finance, and operations to align roadmaps with business needs.

Qualifications

• BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
• 12+ years of experience designing and building distributed systems and cloud infrastructure, with demonstrated experience in GPU capacity management for high-performance computing.
• Demonstrated ability to write production 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 at scale
• Strong communication and relationship-building skills, with a demonstrated ability to drive cross-functional consensus and align stakeholders across departments

Responsibilities

• Design and implement distributed cloud infrastructure at scale — spanning compute, storage, networking, and GPU capacity management across IaaS, PaaS, and SaaS models.
• Partner with internal research and product teams to understand workloads from both a technology and business perspective, providing architectural guidance that drives their success.
• Contribute code directly when needed to move projects forward, and codify working patterns into tools, playbooks, and building blocks that others can reuse.
• Build and maintain agentic tooling to automate operational workflows and infrastructure resource management.
• Analyze the DGX Cloud ecosystem to understand current customer demand and future capacity needs, driving infrastructure efficiency initiatives in partnership with Engineering, Finance, and Product.
• Present technical roadmaps, architecture decisions, and demos to internal stakeholders and NVIDIA leadership, driving cross-functional consensus on infrastructure strategy.

Skills

Golang

Java

C

C++

Python

Rust

Kubernetes

Distributed task scheduling

Communication

Cross-functional collaboration

Education

BS or MS in Computer Science or related field

Equivalent experience

Tools

Kubernetes

Distributed systems tooling

Job description

NVIDIA DGX Cloud seeks a Customer Success Engineer to embed with internal customers, translating detailed application knowledge into architectural guidance, hands-on solutions, and scalable infrastructure strategies.

You will design and implement distributed cloud infrastructure, build tooling, and contribute code while collaborating with research, product, finance, and operations to align roadmaps with business needs.