Manufacturing Infrastructure Software Engineer (Hybrid SF)

Showcify; United States; On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

OpenAI is seeking a Software Engineer for the First-Party Hardware team in San Francisco, hybrid (3 days onsite). You will design, build, and validate software that manufactures, qualifies, and delivers hardware from the factory, coordinating across vendors and sites to ensure data capture, processing, and actionable output.

You will own the CI pipeline, integrate with internal and external systems, and maintain manufacturing-ready software recipes and diagnostics to enable reliable production

Qualifications

• 7+ years of hands-on experience, or exceptional accomplishments in system software, platform software, hardware diagnostics, and cloud infrastructure.
• Strong programming skills in C, C++, Rust or similar systems languages, with experience building reliable software for real hardware.
• Familiarity with scripting in languages such as shell and python as used in automation systems.
• Familiarity with Linux-based hardware platforms, OpenBMC, Redfish, firmware update systems, kernel drivers, and fleet management software.
• Demonstrated ability to debug live hardware using logs, packet captures, firmware traces, bus captures, lab hosts, and Linux tooling.
• 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, turning ambiguity into clear requirements and designs.
• Proven track record working with external vendors, manufacturing partners, or partner engineering teams to drive issues to closure.
• Familiarity with platform security topics such as secure boot, firmware signing, device provisioning, attestation, or trusted update flows.

Responsibilities

• Design, develop, and maintain the software infrastructure for manufacturing process execution and data export.
• Own integration across internal customers and vendor systems and processes.
• Build and maintain the CI, release, and delivery pipeline of tooling to external partners.
• Build and maintain internal systems to ingest, process, deliver, and visualize critical data for internal teams and systems.
• Build system health monitoring, telemetry, remote diagnostics, and recovery paths that make manufacturing failures traceable and actionable.
• Develop automation frameworks and monitoring for board bring-up, rack bring-up, qualification, manufacturing readiness, deployment readiness, and long-term reliability.
• Package 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, firmware, kernel, services, networking, power, thermals, boot, provisioning, manufacturing, test, and cloud services.
• 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.

Skills

System software

Platform software

C/C++

Rust

Scripting

Linux

Debugging hardware

Cloud infrastructure

External vendor work

Security concepts

Tools

OpenBMC

Redfish

Firmware updates

Kernel drivers

Job description

OpenAI is seeking a Software Engineer for the First-Party Hardware team in San Francisco, hybrid (3 days onsite). You will design, build, and validate software that manufactures, qualifies, and delivers hardware from the factory, coordinating across vendors and sites to ensure data capture, processing, and actionable output.

You will own the CI pipeline, integrate with internal and external systems, and maintain manufacturing-ready software recipes and diagnostics to enable reliable production