Senior Software Engineer, SRE and Production Engineering - DGX Cloud

Description

The team builds and runs large-scale GPU infrastructure for AI workloads.

The team writes the software and operational tooling that moves GPU capacity from installed hardware into production service, supporting an IaaS environment offering BMaaS and VMaaS.

The role is for software engineers with SRE or production engineering experience who have worked hands-on with bare-metal systems.

Responsibilities

• Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management.
• Write tools that work with BMC and Redfish interfaces to monitor hardware health, control server state, and support recovery.
• Handle and improve NVL72 systems and BlueField-3 or newer DPUs across cloud partner and on-premises environments.
• Find the causes of failures across servers, DPUs, GPU and CPU systems, networking, Linux, and Kubernetes, then automate detection and repair for recurring issues.
• Set the validation and handoff criteria that let new capacity enter production safely and consistently.
• Take part in on-call duties, incident response, root-cause analysis, and follow-up work that puts permanent fixes in place.
• Work with hardware, networking, platform, data center operations, and partner teams to resolve issues that cross ownership boundaries.

Requirements

• You have 12+ years of experience building software for production infrastructure or operating it, including substantial hands-on bare-metal work.
• You have strong Go or Python skills and a record of delivering production automation and services.
• You have direct experience with BMC and Redfish for server provisioning, health inspection, power management, or fault diagnosis.
• You have practical experience working directly with GPU hardware such as NVL72 systems and BlueField-3 or newer DPUs.
• You know Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair.
• You have kept production reliable through on-call duties, incident response, observability, and durable fixes.
• You can debug failures across hardware, host operating systems, networking, and distributed services.
• You communicate clearly and take ownership of problems that span multiple teams.
• You hold a BS or MS in Computer Science or have equivalent practical experience.
• Ways to stand out: you have operated BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging; DPU or equivalent experience is also considered.
• Ways to stand out: you have a background in NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation.
• Ways to stand out: you have built safe, repeatable workflows for rack-scale bringup, firmware upgrades, hardware replacement, and customer handoff.
• Ways to stand out: you have experience with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation.

Conditions

Applications are accepted at least until November 6, 2026.

This posting is for an existing vacancy.

The company uses AI tools in its recruiting processes.