The role involves working as a Software Engineer within the NVIDIA DGX Cloud team, focusing on building and operating large-scale GPU infrastructure for AI workloads. The team is responsible for developing software and operational tools that manage GPU capacity in an IaaS production environment. Candidates should have hands-on experience with bare-metal NVIDIA systems and a strong background in production engineering. The position emphasizes automation, hardware management, and collaboration across various teams to ensure reliable infrastructure.

• 5+ years of experience building software for or operating production infrastructure with substantial hands-on bare-metal experience.
• Strong skills in Go or Python with a proven track 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.
• Bachelor's or Master's degree in Computer Science or equivalent experience in a practical setting.

• 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, turning recurring issues into automated detection and repair.
• Define validation and handoff criteria so new capacity enters production safely and consistently.
• Participate in on-call duties, incident response, root-cause analysis, and follow-up to implement permanent solutions.
• Collaborate with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.