Senior Object Storage Engineer - Exabyte-Scale Cloud

NVIDIA; North Carolina; On-site; USD 235,000 - 357,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA is seeking a Senior Software Engineer in Object Storage to design, implement, and extend our internal object storage system. This role focuses on building scalable storage services to support AI/ML research and production workloads.

You will contribute to the architecture, performance optimization, and reliability of storage infrastructure across thousands of nodes and exabytes of data, while collaborating with research teams and contributing to open source projects.

Qualifications

• Consistent track record of developing object storage services and strategies for data availability, durability, and fault tolerance.
• Ownership of product delivery from inception to support.
• Excellent communication and presentation skills.
• Experience developing distributed systems with Python, Go, C/C++, or similar.
• Bachelor’s degree in CS or related field, or equivalent experience.
• 8+ years of relevant experience.

Responsibilities

• Design, develop, and test the object storage system.
• Develop storage capabilities to support NVIDIA research teams and other users.
• Extend availability and reliability at scale – 10k+ nodes, exabytes of data.
• Analyze and improve system performance at all levels.
• Automate storage infrastructure end-to-end including provisioning, management and monitoring.
• Make contributions upstream to open source storage codebases.

Skills

Distributed systems

Python

Go

C/C++

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Job description

NVIDIA is seeking a Senior Software Engineer in Object Storage to design, implement, and extend our internal object storage system. This role focuses on building scalable storage services to support AI/ML research and production workloads.

You will contribute to the architecture, performance optimization, and reliability of storage infrastructure across thousands of nodes and exabytes of data, while collaborating with research teams and contributing to open source projects.