Senior Engineering Manager, Object Storage - DGX Cloud

NVIDIA's Object Storage Platform team builds and operates the company's internal S3-compatible distributed object storage service — a critical piece of infrastructure that stores, manages, and serves exabytes of data across NVIDIA's on-premises and hybrid environments. This platform is the storage backbone for NVIDIA's AI infrastructure, enabling researchers and engineers to reliably store massive datasets, model checkpoints, and training artifacts at scale. We are seeking a seasoned Engineering Manager to lead the Object Storage platform team with both dev and SRE responsibilities. You will own the full software development and service delivery lifecycle — from roadmap planning through production operations — while building a high-performance engineering culture grounded in technical excellence, service reliability, and continuous delivery. What You'll Be Doing: • Lead and grow an engineering organization, setting a high bar for 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 to translate multi-quarter goals into clear engineering plans with measurable milestones. • Drive development and operation of NVIDIA's S3-compatible object storage service, ensuring it meets the performance, durability, availability, and scalability demands of AI training and inference workloads at exabyte scale. • Collaborate with the Data Movement and GPU compute teams — identifying and minimizing I/O bottlenecks and keeping accelerators fully utilized. • Define and uphold service reliability standards: SLOs, capacity planning, incident response, root cause analysis, and on-call hygiene. Partner with global SRE teams to ensure the seamless 24/7 availability and operability that the customers depend on. • Establish and enforce engineering standards: design reviews, code quality, CI/CD practices, automated testing, and production observability. Recruit, mentor, and develop engineers across all levels, conducting regular 1:1s, performance cycles, and career growth conversations. Build a diverse, inclusive, and high-retention team. • Collaborate closely with Platform, Networking, Security and global SRE teams to ensure smooth transitions from development to production and rapid resolution of customer-impacting issues. • Champion the adoption of AI-assisted development tooling — coding assistants, agentic workflows, and automated testing harnesses — to accelerate team productivity and raise engineering output. Represent the Object Storage engineering organization to senior leadership, providing transparent status updates, surfacing risks early, and advocating for the resources needed to succeed. What We Need to See: • BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience). • 10+ overall years of software engineering experience, including 4+ years in an engineering management role leading teams of 10 or more engineers delivering production services at scale. • 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, hands-on 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. • Demonstrated experience building or operating cloud storage services — with accountability for reliability, performance, and capacity at scale in a production environment. • Proven track record of shipping production software on time — managing scope, risk, a