Senior Software Engineer, SRE and Production Engineering - DGX Cloud

Job summary

Build and operate software and operational tooling that brings bare-metal NVIDIA GPU capacity into production for large-scale AI workloads in an IaaS environment supporting BMaaS and VMaaS. Automate provisioning, hardware validation, firmware upgrades, repair, and cluster lifecycle management, using BMC and Redfish tools to monitor and recover systems. Diagnose issues across GPU and CPU servers, BlueField DPUs, Linux, networking, and Kubernetes, and improve reliability through incident response and permanent fixes.

Benefits

Qualifications

• 12 or more years building software for or operating production infrastructure, including substantial hands-on bare-metal experience.
• Strong Go or Python skills and a record of delivering production automation and services.
• Direct BMC and Redfish experience in server provisioning, health inspection, power management, or fault diagnosis.
• Hands-on experience with NVIDIA GPU hardware, such as NVL72 systems, and BlueField-3 or newer DPUs.
• Experience with Linux, firmware and driver management, network boot, and server lifecycle operations from 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 ownership of problems spanning multiple teams.
• Bachelor's or master's degree in computer science, or equivalent practical experience.

Responsibilities

• Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repairs, and cluster lifecycle management.
• Develop tools using BMC and Redfish interfaces to monitor hardware health, manage server state, and support recovery workflows.
• Operate and advance NVIDIA NVL72 systems and BlueField-3 or newer DPUs in cloud partner and on-premises environments.
• Diagnose failures across servers, DPUs, GPU and CPU systems, networking, Linux, and Kubernetes; automate detection and repair of recurring issues.
• Define validation and handoff criteria for safely bringing new capacity into production.
• Participate in on-call duties, incident response, root-cause analysis, and implementation of permanent fixes.
• Coordinate with hardware, networking, platform, data center operations, and partner teams to resolve cross-team issues.

Skills

Degrees

Work schedule

Industry

Relocation