Senior Cloud Data Services Engineer for AI Infrastructure

Visa Hunt; United States; On-site; USD 184,000 - 288,000; Full time

Job summary

NVIDIA is seeking a software engineer for the DGXC Data Services team to build cloud-native data and storage infrastructure supporting exabyte-scale AI workloads across hybrid and multi-cloud environments.

You will design and operate backend services, APIs, and tooling using Kubernetes and major cloud providers, collaborating with product, platform, and AI teams to deliver reliable, scalable systems with strong security and verification practices.

Qualifications

• BS in Computer Science or related field with 5+ years of software engineering experience.
• Strong foundation in algorithms, data structures, distributed systems, and software design.
• Experience building and operating backend or cloud-native services using Kubernetes and major cloud providers.
• Ability to design APIs, document systems, and communicate tradeoffs clearly.
• Experience collaborating across engineering, product, platform, and operations teams.

Responsibilities

• Build cloud-native data and storage services for hybrid and multi-cloud infrastructure.
• Develop scalable cloud-native services and APIs for exabyte-scale workflows.
• Collaborate with product, AI teams, and partner engineering to translate requirements into production systems.
• Improve service reliability, performance, observability, and on-call readiness.
• Apply modern software engineering practices with AI-assisted workflows while ensuring quality, security, and verification.

Skills

Algorithms

Distributed systems

Data structures

Software design

Education

Bachelor's degree in Computer Science, Information Systems, Computer Engineering, or equivalent

Tools

Kubernetes

AWS

GCP

Azure

Go

Python

Rust

C/C++

Java

Job description

NVIDIA is seeking a software engineer for the DGXC Data Services team to build cloud-native data and storage infrastructure supporting exabyte-scale AI workloads across hybrid and multi-cloud environments.

You will design and operate backend services, APIs, and tooling using Kubernetes and major cloud providers, collaborating with product, platform, and AI teams to deliver reliable, scalable systems with strong security and verification practices.