NVIDIA

2 months ago

Principal Software Engineer, DGX Cloud Production Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 minutes agoStatus: Live

Job Summary

Senior technical leader responsible for defining architecture and driving production engineering for DGX Cloud Kubernetes-based operations, automation, and reliability across large-scale GPU clusters. You will shape technical strategy, lead cross-organizational initiatives, establish production standards, and mentor teams while delivering scalable, automated solutions for cloud and on-prem environments.

Location: Santa Clara

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define and execute the technical strategy for DGX Cloud cluster operations, building automation, GitOps, and Day 2 reliability for large-scale GPU clusters across NVIDIA Cloud Partners and on-prem environments.
•Lead design and implementation of systems for cluster lifecycle, validation, repair, upgrades, observability, and readiness.
•Establish patterns for Kubernetes-based GPU cluster operations across partner and on-prem environments.
•Identify and eliminate operational toil through software, APIs, automation, and agent-assisted workflows.
•Set technical standards for production readiness, SLOs, incident response, handoff gates, and operational acceptance.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually

Equity and Bonus:Equity

Key Requirements

•15+ years of experience building and operating large-scale distributed systems or cloud infrastructure.
•Deep experience with Kubernetes, Linux, infrastructure automation, and production operations.
•Strong programming experience in Go, Python, or similar.
•Proven ability to lead complex cross-org technical initiatives.
•Experience designing reliable systems with clear SLOs, observability, incident response, and automation.

Experience:15+ yearsAI/ML infrastructureCloud infrastructureGPU clusters

Education:Bachelor's

Skills:GoPythonKubernetesLinuxGitOpsObservabilitySLOsAutomation

Tech Stack:GoPythonKubernetesLinuxGitOpsGPUBMaaSVMaaSMulti-cloud

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

2 months ago

Principal Software Engineer, DGX Cloud Production Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 minutes agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define and execute the technical strategy for DGX Cloud cluster operations, building automation, GitOps, and Day 2 reliability for large-scale GPU clusters across NVIDIA Cloud Partners and on-prem environments.
•Lead design and implementation of systems for cluster lifecycle, validation, repair, upgrades, observability, and readiness.
•Establish patterns for Kubernetes-based GPU cluster operations across partner and on-prem environments.
•Identify and eliminate operational toil through software, APIs, automation, and agent-assisted workflows.
•Set technical standards for production readiness, SLOs, incident response, handoff gates, and operational acceptance.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually

Equity and Bonus:Equity

Key Requirements

•15+ years of experience building and operating large-scale distributed systems or cloud infrastructure.
•Deep experience with Kubernetes, Linux, infrastructure automation, and production operations.
•Strong programming experience in Go, Python, or similar.
•Proven ability to lead complex cross-org technical initiatives.
•Experience designing reliable systems with clear SLOs, observability, incident response, and automation.

Experience:15+ yearsAI/ML infrastructureCloud infrastructureGPU clusters

Education:Bachelor's

Skills:GoPythonKubernetesLinuxGitOpsObservabilitySLOsAutomation

Tech Stack:GoPythonKubernetesLinuxGitOpsGPUBMaaSVMaaSMulti-cloud

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