Senior Engineering Manager, Object Storage – DGX Cloud

NVIDIA

Engineering Manager leading NVIDIA's Object Storage and Data Movement teams. Overseeing software development lifecycle for critical AI infrastructure projects.

Posted 7/13/2026full-timeSanta Clara • California • 🇺🇸 United StatesSenior💰 $272,000 - $431,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading engineering teams to deliver high-quality, reliable software solutions, with a strong focus on distributed storage systems and cloud data services. Proven ability to mentor and develop engineering talent while ensuring adherence to modern software development practices and service reliability standards.

Highest-signal resume keywords

Engineering ManagementDistributed Storage SystemsS3-Compatible Object StorageCI/CD PracticesCloud Data Services

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Applicant Tracking System Keywords

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Hard Skills

GoC++PythonSoftware DevelopmentService ReliabilityCapacity PlanningIncident ManagementAutomated TestingProduction ObservabilityRoot Cause Analysis

Soft Skills

Excellent CommunicationMentoringTeam BuildingCollaborationLeadership

Certifications & Qualifications

BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceEquivalent Experience

Industry Keywords

Object StorageCloud ServicesAI TrainingPerformanceDurabilityScalabilityService Level ObjectivesData Movement ToolsEngineering CultureProduction Services

Tech Stack

Tools & technologies

CloudGoPython

About the role

Key responsibilities & impact

Lead and grow a multi-team 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.
Lead the Data Movement Tools team in building and evolving tooling that stages datasets, model checkpoints, and artifacts from distributed storage to GPU-adjacent compute — 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 SRE to ensure the platform meets the availability commitments internal customers depend on.
Establish and enforce engineering standards across both teams: 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 SRE, Platform, Networking, and Security 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.

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, 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, and delivery across multiple concurrent workstreams.
Strong experience with modern software development and service delivery practices: CI/CD, automated testing, SLO-based reliability, production observability, and incident management.
Demonstrated ability to attract, develop, and retain strong engineering talent in a driven environment, with a track record of growing engineers into senior and staff-level roles.
Excellent written and verbal communication — able to translate complex technical trade-offs for product partners and engineering constraints for executive audiences.

Benefits

Comp & perks

Eligible for equity and benefits