Senior Engineering Manager, Object Storage – DGX Cloud

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Lead and expand the engineering organization.

• Establish benchmarks for software quality, service reliability, and engineering culture.

• Take ownership of the roadmap execution for NVIDIA's internal object storage service.

• Collaborate with internal stakeholders, Product Management, and Architecture to develop engineering plans and milestones.

• Drive the development and operation of NVIDIA's S3-compatible object storage service.

• Ensure performance, durability, availability, and scalability for AI training and inference workloads at an exabyte scale.

• Work in partnership with Data Movement and GPU compute teams to identify and reduce I/O bottlenecks.

• Define and maintain SLOs, capacity planning, incident response, root cause analysis, and on-call hygiene.

• Collaborate with global SRE teams to guarantee 24/7 availability and operability.

• Set engineering standards for design reviews, code quality, CI/CD, automated testing, and production observability.

• Recruit, mentor, and develop engineers at all levels.

• Conduct one-on-ones, performance evaluations, and discussions about career growth.

• Build a diverse, inclusive, and high-retention team.

• Collaborate with Platform, Networking, Security, and global SRE teams on transitions from development to production and issue resolution.

• Advocate for AI-assisted development tools, coding assistants, agentic workflows, and automated testing frameworks.

• Represent the Object Storage engineering organization to senior leadership.

• Provide status updates, identify risks, and advocate for necessary resources.

⛳️ Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, or a related discipline (or equivalent experience).

• Over 10 years of experience in software engineering.

• At least 4 years in an engineering management position, leading teams of 10 or more engineers in delivering production services at scale.

• Extensive technical expertise in distributed storage systems, object storage platforms, or large-scale cloud data services.

• Practical development experience in Go, C++, Python, or other equivalent systems programming languages.

• Direct, hands-on experience in building or scaling S3-compatible object storage systems in a production cloud or private cloud environment.

• Proven ability to achieve improvements in throughput, durability, or operational efficiency.

• Experience in building or managing cloud storage services with responsibilities for reliability, performance, and capacity at scale in a production setting.

• Demonstrated success in delivering production software on schedule across multiple concurrent projects.

• Familiarity with CI/CD, automated testing, SLO-based reliability, production observability, and incident management.

• Capability to attract, nurture, and retain top engineering talent.

• Exceptional written and verbal communication skills.

• Prior experience designing and operating internal cloud storage services with clearly defined SLAs, metered usage, and internal customer-facing APIs (ways to stand out).

• Background in observability and system reliability engineering for distributed systems (ways to stand out).

• Understanding of AI infrastructure storage patterns, including checkpoint storage, dataset versioning, WORM access patterns, or storage-aware scheduling at 10k+ GPU scale (ways to stand out).

• Experience with capacity planning, cost optimization, and chargeback modeling for shared internal storage infrastructure (ways to stand out).

• Proven record of utilizing AI-assisted development tools to enhance team productivity (ways to stand out).

• History of mentoring engineers into senior individual contributors or leads while building diverse, inclusive teams with strong retention (ways to stand out).

🏝️ Benefits

• Equity.

• Benefits.

• Inclusive work environment.

• Equal opportunity employer.