engineering
Posted Jun 5Manufacturing Test Engineer
at openai
Singapore, SingaporeRemote
Responsibilities
- - 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.
- - 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.
- - 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.
Requirements
- ABOUT THE TEAM: 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.
- About the Role We are seeking a Manufacturing Test Engineer to own and drive manufacturing test strategy, development, and execution for complex AI hardware systems.
- experience developing and deploying manufacturing test solutions for complex electronics, servers, networking systems, or high-performance compute hardware.
- - 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.
- QUALIFICATIONS - 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. PREFERRED 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, debug, and production yield. -
- Experience with failure analysis, root-cause investigations, and corrective action processes in a manufacturing environment.
- About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence
Additional details
- 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. IN THIS ROLE,
- YOU WILL: - Define and drive the manufacturing test strategy for boards, trays, and system-level hardware assemblies across EVT, DVT, PVT, and production ramp.
- 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.
- - 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.
- - Help establish scalable standards and best practices for manufacturing test development across OpenAI’s rapidly growing hardware portfolio.
- - Are comfortable working across both engineering development and factory execution, and can bridge the gap between design intent and production implementation.
- - Communicate clearly with internal teams and external partners, especially when aligning on requirements, debugging ambiguous issues, and driving closure under schedule pressure.