Engineering Manager - Object Storage Platform

NVIDIA's Object Storage Platform team seeks an Engineering Manager to lead the development and operation of its internal S3-compatible distributed object storage service.

The successful candidate will own the full software development and service delivery lifecycle, from roadmap planning to production operations, while building a high-performance engineering culture.

Key Responsibilities:

• Lead and grow an engineering organization, focusing on software quality, service reliability, and engineering culture.
• Own roadmap execution for NVIDIA's internal object storage service, partnering with internal customers, Product Management, and Architecture.
• Drive development and operation of NVIDIA's S3-compatible object storage service, ensuring performance, durability, availability, and scalability.
• Collaborate with Data Movement and GPU compute teams to minimize I/O bottlenecks and optimize accelerator utilization.
• Define and uphold service reliability standards, including SLOs, capacity planning, incident response, and root cause analysis.
• Establish and enforce engineering standards, such as design reviews, code quality, CI/CD practices, and production observability.
• Recruit, mentor, and develop engineers across all levels, fostering a diverse, inclusive, and high-retention team.

Requirements:

• BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
• 10+ years of software engineering experience, including 4+ years in an engineering management role leading teams of 10 or more engineers.
• Deep technical background in distributed storage systems, object storage platforms, or large-scale cloud data services.
• Hands-on development experience in Go, C++, Python, or equivalent systems languages.
• Direct experience building or scaling S3-compatible object storage systems in a production cloud or private cloud environment.
• Demonstrated experience building or operating cloud storage services, with accountability for reliability, performance, and capacity at scale.

Nice to Have:

• Prior experience designing and operating internal cloud storage services (IaaS/PaaS) with well-defined SLAs, metered usage, and internal customer-facing APIs.
• Background in effective observability and system reliability engineering of distributed systems.
• Familiarity with AI infrastructure storage patterns, checkpoint storage, dataset versioning, write-once-read-many (WORM) access patterns, or storage-aware scheduling at 10k+ GPU scale.

The base salary for this position ranges from $272,000 to $431,250, depending on location, experience, and other objective job-related factors. You will also be eligible for equity and benefits.