5 months ago
Base Salary
$266k - $445k/yr
Responsibilities
- Design, develop, and maintain low-level firmware and system software for 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 through requirements, code and artifact review, reproducible builds, CI, regression monitoring, version tracking, acceptance criteria, and launch-readiness evidence.
- Build and maintain automation and CI infrastructure for testing and managing systems in the lab.
- Define and debug hardware management protocols across accelerators, hosts, management controllers, firmware, and platform services.
- Build system health monitoring, telemetry, remote diagnostics, and recovery paths for lab, manufacturing, and production environments.
- 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, including images, versions, logs, limits, remediation mapping, provisioning hooks, secure artifact handling, and traceable data export.
- Debug production issues spanning hardware signals, BMC firmware, BIOS/UEFI, kernel drivers, platform services, networking, PCIe, power, thermals, boot, provisioning, and manufacturing tests.
- Partner with hardware, firmware, security, networking, infrastructure, manufacturing, operations, and external engineering teams to define software contracts and resolve issues.
- Produce architecture notes, runbooks, validation records, and decision documents for platform reproduction, operation, and improvement.
Requirements
- 7+ years of hands-on experience in low-level system software, embedded software, firmware, BMC software, platform software, device drivers, or hardware diagnostics, or equivalent expertise demonstrated through exceptional accomplishments.
- 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 and software interfaces including 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 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 turn ambiguous problems into requirements, designs, tests, and decisions.
- Experience working with external vendors, manufacturing partners, or partner engineering teams to define deliverables, review technical work, and drive issues to closure.
- Familiarity with secure boot, firmware signing, device provisioning, attestation, certificate handling, trusted update flows, or access-control design is a plus.
- Candidates may need to meet legal status requirements under U.S. export control laws and regulations.
Benefits
- Hybrid schedule with 3 days per week onsite in San Francisco, California
- Relocation assistance available
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.