Systems Software Engineer, Management Plane

OpenAI
San Francisco
Workplace: HybridFull timeUSD 266,000 - 445,000 annuallyFunction: Software EngineeringExperience: 7+ yearsSkills: ["Problem-solving","Communication","Ownership","Collaboration","Technical documentation"]

Design and implement low-level system software for OpenAI’s first-party AI hardware, spanning BMC, Linux, firmware, and device drivers. Own integration of partner software, build automation, and validation from bring-up to production, coordinating across hardware, firmware, security, networking, and manufacturing teams to enable reliable, scalable AI silicon deployments. Build hardware management protocols, telemetry, and recovery paths to diagnose and manage failures in lab, manufacturing, and data centers.

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FursaFursa
OpenAI
OpenAI
2 months ago

Systems Software Engineer, Management Plane

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design and implement low-level system software for OpenAI’s first-party AI hardware, spanning BMC, Linux, firmware, and device drivers. Own integration of partner software, build automation, and validation from bring-up to production, coordinating across hardware, firmware, security, networking, and manufacturing teams to enable reliable, scalable AI silicon deployments. Build hardware management protocols, telemetry, and recovery paths to diagnose and manage failures in lab, manufacturing, and data centers.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •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.

Pay and Benefits

Salary: USD 266,000 - 445,000 annually
Equity and Bonus:Equity
Perks:EquityRelocation

Key Requirements

  • •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:7+ yearsHardwareEmbedded systemsAI hardwareFirmwareOpenBMC
Skills:Problem-solvingCommunicationOwnershipCollaborationTechnical documentation
Tech Stack:CC++RustLinuxOpenBMCRedfishBMCBIOS/UEFII2CSMBusPMBusPCIeEthernetGPIOUARTJTAG

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor