NVIDIA

2 months ago

Principal Software Engineer - Compute Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead the architectural vision for NVIDIA’s global compute platform, orchestrating thousands of nodes and VMs/containers via OpenShift and KubeVirt, while building a scalable frontier AI inference infrastructure and enabling self-service, GitOps-driven platform adoption across autonomous teams.

Location: Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define Platform Architecture: Lead initiatives to architect and transform our global enterprise compute platform—running thousands of nodes and tens of thousands of VMs and containers via OpenShift and KubeVirt—by defining service tiers, SLAs, and automated cluster lifecycles.
•Operationalize Frontier AI Infrastructure: Build the operational foundation for our internal AI inference platform scaling to frontier-class models, with automated remediation pipelines, hardware watchdogs, and telemetry for pre-release, rack-scale GPU systems.
•Drive Strategic Capacity & Scale: Collect and review system data for capacity planning to navigate extreme hardware supply constraints, including public cloud bursting, hardware dogfooding, and evaluating ARM architectures.
•Build the Paved Road: Collaborate with autonomous NVIDIA teams to drive adoption of standard platforms, designing self-service architectures, APIs, and Terraform/OpenTofu providers.
•Lead Complex Migrations: Evaluate existing architectures and migrate massive legacy workloads—such as large-scale, long-running VDI environments—into modern Kubernetes orchestration.

Pay and Benefits

Salary: USD 248,000 - 391,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•15+ years of proven experience in compute platform engineering, site reliability, or systems architecture with automation at massive scale.
•Deep expertise in Kubernetes architecture and designing/deploying virtualization architectures (VMs inside Kubernetes via KubeVirt/OpenShift).
•In-depth knowledge of GPUs and high-speed networking, with a track record of mitigating hardware-level failures and anomalies in large-scale environments.
•Experience running large global environments spanning bare metal, virtualization, and cloud with a unified GitOps posture (e.g., ArgoCD).
•Proficiency in Go and/or Python, plus infrastructure-as-code development (Terraform, configuration management).

Experience:15+ yearsAIGPUKubernetesCloudGitOps

Education:Bachelor's

Skills:GoPythonKubernetesOpenShiftKubeVirtTerraformArgoCDGitOps

Tech Stack:GoPythonKubernetesOpenShiftKubeVirtTerraformArgoCDGitOps

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 - Compute Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define Platform Architecture: Lead initiatives to architect and transform our global enterprise compute platform—running thousands of nodes and tens of thousands of VMs and containers via OpenShift and KubeVirt—by defining service tiers, SLAs, and automated cluster lifecycles.
•Operationalize Frontier AI Infrastructure: Build the operational foundation for our internal AI inference platform scaling to frontier-class models, with automated remediation pipelines, hardware watchdogs, and telemetry for pre-release, rack-scale GPU systems.
•Drive Strategic Capacity & Scale: Collect and review system data for capacity planning to navigate extreme hardware supply constraints, including public cloud bursting, hardware dogfooding, and evaluating ARM architectures.
•Build the Paved Road: Collaborate with autonomous NVIDIA teams to drive adoption of standard platforms, designing self-service architectures, APIs, and Terraform/OpenTofu providers.
•Lead Complex Migrations: Evaluate existing architectures and migrate massive legacy workloads—such as large-scale, long-running VDI environments—into modern Kubernetes orchestration.

Pay and Benefits

Salary: USD 248,000 - 391,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•15+ years of proven experience in compute platform engineering, site reliability, or systems architecture with automation at massive scale.
•Deep expertise in Kubernetes architecture and designing/deploying virtualization architectures (VMs inside Kubernetes via KubeVirt/OpenShift).
•In-depth knowledge of GPUs and high-speed networking, with a track record of mitigating hardware-level failures and anomalies in large-scale environments.
•Experience running large global environments spanning bare metal, virtualization, and cloud with a unified GitOps posture (e.g., ArgoCD).
•Proficiency in Go and/or Python, plus infrastructure-as-code development (Terraform, configuration management).

Experience:15+ yearsAIGPUKubernetesCloudGitOps

Education:Bachelor's

Skills:GoPythonKubernetesOpenShiftKubeVirtTerraformArgoCDGitOps

Tech Stack:GoPythonKubernetesOpenShiftKubeVirtTerraformArgoCDGitOps

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