OpenAI에서 제조 테스트 엔지니어를 채용합니다. 복잡한 AI 하드웨어 시스템의 제조 테스트 전략을 수립하고, ICT 및 기능 테스트를 포함한 전체 공정을 관리합니다. 5년 이상의 관련 경력이 필수이며, 서버 또는 AI 가속기 테스트 경험이 있는 분을 찾습니다. 하드웨어 설계팀과 협업하여 생산 수율을 최적화하고 고성능 컴퓨팅 하드웨어의 양산을 주도할 핵심 인재를 기다립니다.
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.
We are seeking a Manufacturing Test Engineer to own and drive manufacturing test strategy, development, and execution for complex AI hardware systems. This role will define and implement test coverage across the product lifecycle, including ICT, functional circuit test, tray-level functional test, and system manufacturing test.
You will work closely with hardware design engineering, diagnostic/software teams, manufacturing engineering, quality, and external system integrators and suppliers to translate product requirements into robust, scalable, and production-ready test solutions. You will also play a key role in reviewing test data, debugging failures, improving yield, and ensuring manufacturing test readiness from early development through volume production.
Define and drive the manufacturing test strategy for boards, trays, and system-level hardware assemblies across EVT, DVT, PVT, and production ramp.
Develop and manage test coverage for:
ICT / structural test
FCT / board-level functional test
Tray-level functional and integration test
System-level manufacturing and bring-up test
Partner closely with electrical engineering, system engineering, and diagnostic/software teams to define test requirements, review manufacturing test scripts and diagnostics, validate failure isolation needs, debug hooks, logging, and production screening strategies.
Translate engineering requirements into practical, scalable manufacturing test plans that balance coverage matrices; review and approve EVT/DVT/PVT and production test plans, pass/fail criteria and release gates while balancing coverage, test time, debug efficiency, cost, and production throughput.
Collaborate with system integrators, JDMs, contract manufacturers, and equipment vendors to implement and qualify test stations, fixtures, automation, software, equipment configurations, calibration plans, operator procedures, golden-unit correlation and production workflows.
Review and analyze manufacturing test results, test logs, diagnostic outputs, yield trends, failure paretos, false-failure rates, and station correlation data to identify gaps and drive corrective actions.
Lead or support debug of manufacturing test failures, working cross-functionally to determine whether issues stem from design, process, fixture, software, component, or operator variation.
Drive continuous improvement of test processes, including coverage expansion, cycle-time reduction, parallelization opportunities, power & cooling efficiency optimization, station reliability, data quality, and test escape prevention.
Ensure manufacturing test readiness for new product introduction, including test specifications, validation plans, GR&R/correlation studies, station acceptance, and production release criteria.
Help establish scalable standards and best practices for manufacturing test development across OpenAI’s rapidly growing hardware portfolio.
Have experience developing and deploying manufacturing test solutions for complex electronics, servers, networking systems, or high-performance compute hardware.
Understand board-level and system-level test methodologies, including ICT, boundary scan, functional test, burn-in, stress test, and production diagnostics.
Are comfortable working across both engineering development and factory execution, and can bridge the gap between design intent and production implementation.
Have strong hands-on debugging skills and can use test data, BMC/Host logs, diagnostic logs, power & thermal telemetry, schematics, and lab measurements to identify root causes efficiently and drive corrective action.
Communicate clearly with internal teams and external partners, especially when aligning on requirements, debugging ambiguous issues, and driving closure under schedule pressure.
Enjoy operating in a fast-moving, high-ownership environment with significant ambiguity and high expectations for execution.
Bachelor’s degree in Electrical Engineering, Computer Engineering, Manufacturing Engineering, or a related technical field, or equivalent practical experience.
5+ years of experience in manufacturing test engineering, product test, NPI test development, or related hardware test roles.
Experience with one or more of the following on servers and/or AI Accelerators:
ICT or structural board test
Board-level functional test development
Tray, chassis, or system-level manufacturing test
Production diagnostics and debug workflows
Test fixture, rack, or station development
Experience working with contract manufacturers, JDMs, system integrators, or test equipment vendors to deploy and sustain production test solutions.
Strong analytical and problem-solving skills, with experience reviewing test data, yield, failure trends, and manufacturing metrics.
Ability to work cross-functionally with hardware engineering, diagnostics/software, manufacturing, quality, and supplier teams.
Experience with server and AI accelerators plus networking, power, or data center hardware systems.
Experience reviewing or developing manufacturing test automation, Python/Bash or similar scripts, Linux-based diagnostics, data pipelines, CI/release controls, and test software frameworks used in factory environments.
Experience supporting high-volume production ramps and factory bring-up in Asia or other global manufacturing environments.
Knowledge of DFT principles and how design decisions influence testability, debug, and production yield.
Experience with failure analysis, root-cause investigations, and corrective action processes in a manufacturing environment.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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