Senior Engineering Manager, Object Storage - DGX Cloud

Details

NVIDIA's Object Storage Platform team builds and operates the company's internal S3-compatible distributed object storage service, a critical infrastructure component that stores, manages, and serves exabytes of data across NVIDIA's on-premises and hybrid environments. The platform supports AI infrastructure by enabling researchers and engineers to reliably store massive datasets, model checkpoints, and training artifacts at scale.

The Engineering Manager will lead the Object Storage platform team across development and site reliability engineering responsibilities, owning the full software development and service delivery lifecycle from roadmap planning through production operations.

Responsibilities

• Lead and grow an engineering organization, setting high standards for software quality, service reliability, and engineering culture.
• Own roadmap execution for NVIDIA's internal object storage service by partnering with internal customers, Product Management, and Architecture to translate multi-quarter goals into engineering plans with measurable milestones.
• Drive the development and operation of NVIDIA's S3-compatible object storage service, ensuring performance, durability, availability, and scalability for AI training and inference workloads at exabyte scale.
• Collaborate with Data Movement and GPU Compute teams to identify and minimize I/O bottlenecks and keep accelerators fully utilized.
• Define and uphold service reliability standards, including SLOs, capacity planning, incident response, root cause analysis, and on-call practices.
• Partner with global SRE teams to ensure seamless 24/7 availability and operability.
• Establish and enforce engineering standards covering design reviews, code quality, CI/CD, automated testing, and production observability.
• Recruit, mentor, and develop engineers across all levels, including conducting regular one-on-ones, performance cycles, and career growth conversations.
• Build a diverse, inclusive, and high-retention team.
• Collaborate with Platform, Networking, Security, and global SRE teams to support transitions from development to production and resolve customer-impacting issues.
• Champion AI-assisted development tooling, including coding assistants, agentic workflows, and automated testing harnesses.
• Represent the Object Storage engineering organization to senior leadership by providing status updates, surfacing risks, and advocating for required resources.

Requirements

• Bachelor's, master's, or doctoral degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
• At least 10 years of overall software engineering experience, including at least 4 years in an engineering management role leading teams of 10 or more engineers delivering production services at scale.
• Deep technical experience with 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, with demonstrable improvements in throughput, durability, or operational efficiency.
• Experience building or operating cloud storage services with accountability for reliability, performance, and capacity at scale in production.
• Proven track record of shipping production software on time while managing scope, risk, and delivery across concurrent workstreams.
• Strong experience with CI/CD, automated testing, SLO-based reliability, production observability, and incident management.
• Demonstrated ability to attract, develop, and retain engineering talent, including growing engineers into senior and staff-level roles.
• Excellent written and verbal communication skills, with the ability to explain technical trade-offs to product partners and engineering constraints to executive audiences.

Additional Qualifications

• Experience designing and operating internal cloud storage services, including IaaS/PaaS services with defined SLAs, metered usage, and internal customer-facing APIs.
• Background in observability and site reliability engineering for distributed systems.
• Familiarity with AI infrastructure storage patterns such as checkpoint storage, dataset versioning, write-once-read-many access patterns, or storage-aware scheduling at 10,000 or more GPUs.
• Experience with capacity planning, cost optimization, and chargeback modeling for shared internal storage infrastructure.
• Experience adopting AI-assisted development tools to improve team productivity.
• History of growing engineers into senior individual contributors or leads and building diverse, inclusive teams with strong retention.

Compensation and Benefits

The expected base salary range is $272,000–$431,250 USD per year, determined based on location, experience, and other objective job-related factors. The position is also eligible for equity and benefits.

Applications will be accepted at least until November 8, 2026. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.