Senior Engineering Manager, Object Storage – DGX Cloud

NVIDIA

. Lead and grow an engineering organization .

Posted 11/5/2026full-timeRemote • United StatesSenior💰 $272,000 - $431,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams, driving the development and operation of S3-compatible object storage services, and ensuring high standards for software quality and reliability. Proven ability to mentor engineers, manage production services at scale, and collaborate effectively across multiple teams.

Highest-signal resume keywords

Engineering ManagementDistributed Storage SystemsS3-Compatible Object StorageCI/CD and Automated TestingCapacity Planning and Cost Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GoC++PythonDistributed Storage SystemsS3-Compatible Object StorageCI/CDAutomated TestingIncident ManagementPerformance OptimizationRoot Cause Analysis

Soft Skills

Excellent CommunicationMentoringTeam BuildingCollaborationDiversity and Inclusion Advocacy

Tools & Technologies

Cloud Data ServicesAI-Assisted Development ToolsProduction ObservabilityInternal Customer-Facing APIsIncident Response Tools

Industry Keywords

Software QualityService ReliabilityEngineering CulturePerformance and ScalabilityAI Infrastructure Storage Patterns

Tech Stack

Tools & technologies

CloudDistributed SystemsPythonC++Go

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Equity
Benefits
Inclusive work environment
Equal opportunity employer