Systems Software Engineer, Management Plane

About the Team

OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform.

About the Role

We're seeking a System Software Engineer to join our First-Party Hardware team. In this role, you will design, build, integrate, and validate low-level system software for the manageability and health of OpenAI's first-party AI hardware systems.

You will work across BMC, Linux, firmware interfaces, automation infra, boot and recovery, hardware diagnostics, telemetry, host and platform drivers, network software interfaces, and manufacturing and fleet readiness. A major part of this role is owning the acceptance path for partner-delivered system software: defining requirements, reviewing code and artifacts, reproducing builds, building tests, pushing fixes, and producing the evidence needed for launch decisions.

This role is hands-on and high-ownership. You will write and review low-level software, debug issues across hardware and software boundaries, build infra and automation to test and manage devices in lab, guide partner deliverables, build validation evidence, and help carry platforms from bring-up through production deployment.

Location: San Francisco, CA (Hybrid: 3 days/week onsite)

Relocation assistance available.

In this role, you will:

Design, develop, and maintain low-level firmware and system software for first-party AI hardware manageability, including BMC software, Redfish services, gNMI telemetry, firmware update and recovery flows, BIOS/UEFI interactions, platform drivers, and hardware diagnostics.

Own integration and acceptance of partner and vendor software releases, including requirements, code and artifact review, reproducible builds, CI, regression monitoring, version tracking, acceptance criteria, and launch-readiness evidence.

Build and maintain automation and CI infra for testing and managing systems in our lab

Define and debug hardware management protocols across accelerators, host systems, management controllers, firmware, and platform services, including interfaces such as I2C, SMBus, PMBus, PCIe, Ethernet, GPIO, UART, and JTAG.

Build system health monitoring, telemetry, remote diagnostics, and recovery paths that make hardware failures diagnosable in the lab, at manufacturing partners, and in production data centers.

Develop validation and test automation for board bring-up, rack bring-up, qualification, manufacturing readiness, deployment readiness, and long-term reliability.

Convert engineering releases into manufacturing-ready software recipes: images, versions, logs, limits, remediation mapping, provisioning hooks, secure artifact handling, and traceable data export.

Debug complex production issues spanning hardware signals, BMC firmware, BIOS/UEFI, kernel drivers, platform services, network topology, PCIe behavior, power, thermals, boot, provisioning, and manufacturing test.

Partner with hardware, firmware, security, networking, infrastructure, manufacturing, operations, and external engineering teams to define software contracts, unblock bring-up, and drive issues to closure.

Produce durable architecture notes, runbooks, validation records, and decision documents that help OpenAI and partner teams reproduce, operate, and improve the platform.

You might thrive in this role if you:

7+ years of hands-on experience, or exceptional accomplishments demonstrating equivalent expertise, in low-level system software, embedded software, firmware, BMC software, platform software, device drivers, or hardware diagnostics.

Strong programming skills in C, C++, Rust or similar systems languages, with experience building reliable software for real hardware.

Experience with Linux-based hardware platforms, embedded Linux, OpenBMC, Redfish, BMCWeb, IPMI boundaries, BIOS/UEFI, bootloaders, firmware update systems, kernel drivers, RTOS, or fleet management software.

Strong knowledge of hardware/software interfaces such as I2C, SMBus, PMBus, SPI, PCIe, Ethernet, USB, UART, GPIO, JTAG, power controllers, board-level debug tools, or protocol analyzers.