NVIDIA

1 week ago

Senior Engineering Manager, Object Storage - DGX Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead a multi-team organization building NVIDIA’s internal S3-compatible distributed object storage service and a companion data movement tools platform that stages data for GPU clusters. Own the full development and service delivery lifecycle, drive roadmap execution and engineering standards (CI/CD, automated testing, observability), and set service reliability practices (SLOs, incident response). Collaborate with SRE and platform teams while adopting AI-assisted development to improve productivity and delivery at exabyte scale.

Location: Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead and grow a multi-team engineering organization focused on software quality, service reliability, and continuous delivery.
•Own roadmap execution for NVIDIA’s internal object storage service in partnership with Product Management and Architecture.
•Drive development and operations of the S3-compatible object storage service for AI training and inference workloads at exabyte scale.
•Lead the Data Movement Tools team building tooling that stages datasets and artifacts to minimize I/O bottlenecks and keep accelerators utilized.
•Define reliability standards (SLOs, capacity planning, incident response, on-call hygiene), establish engineering standards, and collaborate with SRE/Platform/Networking/Security to resolve customer-impacting issues.

Pay and Benefits

Salary: USD 272,000 - 488,750 annually

Equity and Bonus:Equity

Key Requirements

•10+ years of software engineering experience, including 4+ years in an engineering management role leading teams of 10+ engineers delivering production services at scale.
•BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
•Deep technical background in distributed storage systems or large-scale cloud data services, with 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 production cloud or private cloud environments, with measurable improvements in throughput, durability, or efficiency.
•Strong service delivery practices including CI/CD, automated testing, SLO-based reliability, production observability, and incident management.

Experience:10+ yearsDistributed storageObject storageCloud data servicesAI infrastructure

Education:

Skills:Service reliabilityEngineering cultureIncident responseRoot cause analysisCommunication

Tech Stack:S3-compatible object storageSLOsCI/CDAutomated testingObservabilityIncident managementGoC++PythonSREAI-assisted development tooling

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week ago

Senior Engineering Manager, Object Storage - DGX Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead and grow a multi-team engineering organization focused on software quality, service reliability, and continuous delivery.
•Own roadmap execution for NVIDIA’s internal object storage service in partnership with Product Management and Architecture.
•Drive development and operations of the S3-compatible object storage service for AI training and inference workloads at exabyte scale.
•Lead the Data Movement Tools team building tooling that stages datasets and artifacts to minimize I/O bottlenecks and keep accelerators utilized.
•Define reliability standards (SLOs, capacity planning, incident response, on-call hygiene), establish engineering standards, and collaborate with SRE/Platform/Networking/Security to resolve customer-impacting issues.

Pay and Benefits

Salary: USD 272,000 - 488,750 annually

Equity and Bonus:Equity

Key Requirements

•10+ years of software engineering experience, including 4+ years in an engineering management role leading teams of 10+ engineers delivering production services at scale.
•BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
•Deep technical background in distributed storage systems or large-scale cloud data services, with 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 production cloud or private cloud environments, with measurable improvements in throughput, durability, or efficiency.
•Strong service delivery practices including CI/CD, automated testing, SLO-based reliability, production observability, and incident management.

Experience:10+ yearsDistributed storageObject storageCloud data servicesAI infrastructure

Education:

Skills:Service reliabilityEngineering cultureIncident responseRoot cause analysisCommunication

Tech Stack:S3-compatible object storageSLOsCI/CDAutomated testingObservabilityIncident managementGoC++PythonSREAI-assisted development tooling

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor