Senior Cloud Data Engineer for Exabyte-Scale AI & Storage

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is building cloud-native data and storage infrastructure to manage data across hybrid and multi-cloud environments. This role focuses on developing scalable services and APIs that enable exabyte-scale GPU training and inference workflows.

You will collaborate with product managers, AI teams, and platform groups to translate requirements into reliable production systems while improving reliability, observability, and on-call readiness. Equity and benefits are offered.

Qualifications

• BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience.
• Strong foundation in algorithms, data structures, distributed systems, and practical software design.
• Experience building, shipping, and operating backend or cloud-native services using Kubernetes, AWS, GCP, or Azure, and languages such as Go, Python, Rust, C/C++, or Java.
• Ability to design APIs, document systems, reason through tradeoffs, communicate clearly, and break ambiguous problems into practical execution plans.
• Experience working across engineering, product, platform, and operations teams to deliver reliable production software.

Responsibilities

• Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access.
• Develop scalable cloud-native services and APIs that support exabyte-scale, high-performance GPU training and inference workflows.
• Work closely with product managers, internal AI teams, platform teams, and partner engineering teams to understand requirements and turn them into reliable production systems.
• Collaborate with SRE, operations, and support teams to improve service reliability, performance, observability, on-call readiness, and operational scale.
• Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, and verification.

Skills

Go

Python

Rust

C/C++

Distributed systems

APIs design

Cloud platforms

Education

BS in Computer Science

Information Systems

Computer Engineering

Tools

Kubernetes

AWS

GCP

Azure

Git

Job description

NVIDIA is building cloud-native data and storage infrastructure to manage data across hybrid and multi-cloud environments. This role focuses on developing scalable services and APIs that enable exabyte-scale GPU training and inference workflows.

You will collaborate with product managers, AI teams, and platform groups to translate requirements into reliable production systems while improving reliability, observability, and on-call readiness. Equity and benefits are offered.