Senior Cloud Data Services Engineer (Remote)

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Software Engineer for the DGXC Data Services team in Santa Clara. You will design and build cloud-native data management services to handle datasets and checkpoints while collaborating with researchers and leaders across NVIDIA.

With a strong background in algorithms and backend systems, you will work on Kubernetes-based services across AWS/GCP/Azure, contributing to exabyte-scale, high-performance GPU workloads for training and inference.

Qualifications

• 5+ years of proven experience in software engineering
• Strong foundation in algorithms and data structures
• Experience building/shipping services on Kubernetes, Cloud Native, and Cloud providers
• Experience collaborating with cross-functional teams
• Backend software engineering with Go, Python, C/C++, or Java
• Ability to document software and services and break projects into tasks
• Excellent communication and cross-team collaboration

Responsibilities

• Design and build software code and cloud services for Data Management
• Provide cataloging, metadata management, and lifecycle of datasets and checkpoints
• Collaborate with NVIDIA leadership and research teams to leverage innovations

Skills

Algorithms & DS

Cloud-native

Go

Python

C/C++

Java

Kubernetes

Team collaboration

Documentation

Education

Bachelor's degree in Computer Science / Information Systems / Computer Engineering

Tools

AWS

GCP

Azure

Apache Spark

Iceberg

Job description

NVIDIA Corporation is seeking a Senior Software Engineer for the DGXC Data Services team in Santa Clara. You will design and build cloud-native data management services to handle datasets and checkpoints while collaborating with researchers and leaders across NVIDIA.

With a strong background in algorithms and backend systems, you will work on Kubernetes-based services across AWS/GCP/Azure, contributing to exabyte-scale, high-performance GPU workloads for training and inference.