Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Linux @ 3
Networking @ 3
Rust @ 6
Security @ 2
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
- Demonstrated ability to debug live hardware using logs, packet captures, firmware traces, bus captures, lab hosts, BMC journals, Linux tooling, and carefully controlled experiments.
- Experience with hardware bring-up, manufacturing or qualification testing, system diagnostics, release validation, or deployment of high-performance compute, accelerator, server, networking, storage, or embedded platforms.
- Ability to reason across software, firmware, hardware, manufacturing, and operations boundaries, and to turn ambiguous problems into clear requirements, designs, tests, and decisions.
- Proven track record working with external vendors, manufacturing partners, or partner engineering teams to define deliverables, review technical work, and drive issues to closure.
- Familiarity with platform security topics such as secure boot, firmware signing, device provisioning, attestation, certificate handling, trusted update flows, or access-control design is a plus.
To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
More details about our benefits are available to candidates during the hiring process.
This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.