Senior Software Engineer, SRE, Production Engineering

NVIDIA

. Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management .

Posted 10/12/2026full-timeRemote • California • United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building automation for bare-metal provisioning and managing NVIDIA GPU hardware, with a strong focus on incident response and production reliability. Proficient in developing tools for hardware health monitoring and lifecycle management across cloud and on-premises environments.

Highest-signal resume keywords

Go ProgrammingPython ProgrammingBMC and Redfish ExperienceNVIDIA GPU Hardware ManagementKubernetes Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Bare-Metal ProvisioningAutomation DevelopmentFirmware ManagementNetwork BootIncident ResponseDebugging Hardware FailuresProduction Infrastructure ManagementLifecycle DebuggingObservabilitySLOs

Soft Skills

Clear CommunicationOwnership of Problems

Tools & Technologies

KubernetesGitOpsArgo CDNVIDIA NVL72 SystemsBlueField-3 DPUsInfiniBandNVLinkSpectrum-X

Certifications & Qualifications

BS/MS in Computer Science

Industry Keywords

Cloud Partner EnvironmentsData Center OperationsServer Lifecycle ManagementHardware ValidationCluster Performance Validation

Tech Stack

Tools & technologies

CloudKubernetesLinuxPythonGo

About the role

Key responsibilities & impact

Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management
Develop tools that interact with BMC and Redfish interfaces to monitor hardware health, manage server state, and assist recovery workflows
Handle and advance NVIDIA NVL72 systems and BlueField-3 or later DPUs throughout cloud partner and on-premises environments
Diagnose failures across servers, DPUs, GPU systems, CPU systems, networking, Linux, and Kubernetes; turn recurring issues into automated detection and repair
Define validation and handoff criteria so new capacity enters production safely and consistently
Take part in on-call duties, incident response, root-cause analysis, and follow-up to implement permanent solutions
Work with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries

Requirements

What you’ll need

8+ years building software for or operating production infrastructure, including substantial hands-on bare-metal experience
Strong Go or Python skills, with a record of delivering production automation and services
Direct experience with BMC and Redfish in server provisioning, health inspection, power management, or fault diagnosis
Practical experience working directly with NVIDIA GPU hardware, such as NVL72 systems, and BlueField-3 or newer DPUs
Experience with Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair
Experience managing production reliability through on-call duties, incident response, observability, and durable solutions
Ability to debug failures across hardware, host operating systems, networking, and distributed services
Clear communication and demonstrated ownership of problems that span multiple teams
BS/MS in Computer Science or equivalent experience in a practical setting
Experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, with DPU or equivalent experience considered
Background with NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation
Experience building safe, repeatable workflows for rack-scale bringup, firmware upgrades, hardware replacement, and customer handoff
Experience with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation

Benefits

Comp & perks

Equity
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