Senior Engineering Manager, Object Storage – DGX Cloud

🔥 2 minutes ago

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $272k - $431.3k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Lead and grow an engineering organization • Set standards for software quality, service reliability, and engineering culture • Own roadmap execution for NVIDIA's internal object storage service • Partner with internal customers, Product Management, and Architecture to create engineering plans and milestones • Drive development and operation of NVIDIA's S3-compatible object storage service • Ensure 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 • Define and uphold SLOs, capacity planning, incident response, root cause analysis, and on-call hygiene • Partner with global SRE teams to ensure 24/7 availability and operability • Establish engineering standards for design reviews, code quality, CI/CD, automated testing, and production observability • Recruit, mentor, and develop engineers across all levels • Conduct 1:1s, performance cycles, and career growth conversations • Build a diverse, inclusive, and high-retention team • Collaborate with Platform, Networking, Security, and global SRE teams on development-to-production transitions and issue resolution • Champion AI-assisted development tooling, coding assistants, agentic workflows, and automated testing harnesses • Represent the Object Storage engineering organization to senior leadership • Provide status updates, surface risks, and advocate for required resources

🎯 Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience) • 10+ overall years of software engineering experience • 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 • 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 a production environment • Proven track record of shipping production software on time across multiple concurrent workstreams • Experience with CI/CD, automated testing, SLO-based reliability, production observability, and incident management • Ability to attract, develop, and retain strong engineering talent • Excellent written and verbal communication • Prior experience designing and operating internal cloud storage services with well-defined SLAs, metered usage, and internal customer-facing APIs (ways to stand out) • Background in observability and system reliability engineering of distributed systems (ways to stand out) • Familiarity with 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) • Track record of adopting AI-assisted development tools to improve team productivity (ways to stand out) • History of growing engineers into senior ICs or leads and building diverse, inclusive teams with strong retention (ways to stand out)

🏖️ Benefits

• Equity • Benefits • Inclusive work environment • Equal opportunity employer

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