
Software Engineer, SRE, Production Engineering β DGX Cloud
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in California, +5 more states.
β’ Develop automation solutions for bare-metal provisioning, hardware validation, firmware and software upgrades, repairs, and cluster lifecycle management.
β’ Create tools using BMC and Redfish interfaces to evaluate hardware health, manage server states, and support recovery workflows.
β’ Oversee and improve NVIDIA NVL72 systems and BlueField-3 or later DPUs within cloud partner and on-premises settings.
β’ Troubleshoot failures across servers, DPUs, GPU systems, CPU systems, networking, Linux, and Kubernetes; transform recurring issues into automated detection and resolution.
β’ Establish validation and handoff criteria to ensure that new capacity is introduced into production safely and consistently.
β’ Participate in on-call responsibilities, incident response, root-cause analysis, and ensure the implementation of permanent fixes.
β’ Collaborate with hardware, networking, platform, data center operations, and partner teams to address issues across various ownership boundaries.
β’ 8+ years of experience in building software for or managing production infrastructure, with significant hands-on bare-metal expertise.
β’ Proficient in Go or Python, with a proven track record in delivering production automation and services.
β’ Direct experience with BMC and Redfish for server provisioning, health monitoring, power control, or fault diagnosis.
β’ Practical experience with NVIDIA GPU hardware, specifically NVL72 systems, and BlueField-3 or later DPUs.
β’ Knowledge of Linux, firmware and driver management, network boot processes, and the server lifecycle from initial provisioning to repair.
β’ Experience in managing production reliability through on-call responsibilities, incident management, observability, and sustainable solutions.
β’ Capability to debug failures across hardware, host operating systems, networking, and distributed services.
β’ Strong communication skills and a demonstrated ability to take ownership of issues that involve multiple teams.
β’ BS/MS in Computer Science or equivalent experience in a related area.
β’ Experience in operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, or similar experience.
β’ Background in NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation.
β’ Experience in creating safe, repeatable workflows for rack-scale bring-up, firmware upgrades, hardware replacement, and customer transitions.
β’ Familiarity with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation.
β’ Equity
β’ Benefits
NVIDIA
GitLab
NVIDIA
NVIDIA
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