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OpenAI

Builds AI models and the ChatGPT assistant

Manufacturing Test Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedHybrid

About the Job

Requirements

  • Experience developing and deploying manufacturing test solutions for complex electronics, servers, networking systems, or high-performance compute hardware.
  • Understanding of board-level and system-level test methodologies, including ICT, boundary scan, functional test, burn-in, stress test, and production diagnostics.
  • Hands-on debugging skills and ability to use test data, BMC/Host logs, diagnostic logs, power and thermal telemetry, schematics, and lab measurements to identify root causes and drive corrective action.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Manufacturing Engineering, or a related technical field, or equivalent practical experience.
  • At least 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.

Responsibilities

  • 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, and system-level manufacturing and bring-up test.
  • Partner with electrical engineering, system engineering, and diagnostic/software teams to define test requirements; review manufacturing test scripts and diagnostics; and validate failure-isolation needs, debug hooks, logging, and production screening strategies.
  • Translate engineering requirements into scalable manufacturing test plans balancing 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 debugging 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 and 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 the hardware portfolio.

Desired Qualifications

  • 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, debugging, and production yield.
  • Experience with failure analysis, root-cause investigations, and corrective action processes in a manufacturing environment.

About the Company

OpenAI

Builds AI models and the ChatGPT assistant

OpenAI researches and builds artificial intelligence models and turns them into products for people, developers, and businesses, with a stated mission of making sure artificial general intelligence benefits all of humanity. Its launch of ChatGPT in 2022 brought generative AI into everyday use. People use ChatGPT to ask questions, write, code, and analyze files, developers build OpenAI's models into their own apps through its API, and its Codex agent works through coding tasks on its own. OpenAI earns money from ChatGPT subscriptions, business plans, and API usage. Sam Altman, Elon Musk, and others co-founded it in 2015; it is based in San Francisco and overseen by a nonprofit, the OpenAI Foundation.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$207.5B
Headquarters
San Francisco, CA
Founded
2015

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