Component and Product Quality Engineer, Interconnects

OpenAI
San Francisco
Workplace: OnsiteFull timeUSD 123,000 - 285,000 annuallyFunction: QA, Test & Release EngineeringExperience: 7+ yearsSkills: ["Problem-solving","Communication","Collaboration"]

Lead end-to-end quality for high-speed interconnect hardware in OpenAI’s Hardware group, owning supplier readiness, qualification, ramp, and fleet quality across lab and data center environments. You will oversee interconnect components like high-speed copper cables, connectors, patch panels, and backplanes, drive quality-by-design, define metrics, and coordinate with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and enable rapid containment.

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FursaFursa
OpenAI
OpenAI
6 months ago

Component and Product Quality Engineer, Interconnects

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Lead end-to-end quality for high-speed interconnect hardware in OpenAI’s Hardware group, owning supplier readiness, qualification, ramp, and fleet quality across lab and data center environments. You will oversee interconnect components like high-speed copper cables, connectors, patch panels, and backplanes, drive quality-by-design, define metrics, and coordinate with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and enable rapid containment.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering

Key Responsibilities

  • •Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges, patch panels & optics, and backplane/cable-backplane interconnect solutions.
  • •Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures.
  • •Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and mass production.
  • •Build and execute qualification strategies for cables/connectors/patch panels (mechanical, environmental, electrical, and reliability), including test coverage, sample plans, clear pass/fail criteria, defining installation criteria and processes, optics termination quality management and setting fiber standards criteria.
  • •Partner with engineering and operations to drive smooth ramp: risk assessments, pilot build learnings, change control, and readiness reviews (EVT/DVT/PVT/MP or equivalent phases).
  • •Own supplier and CM performance management: scorecards, audits (process and quality system), and follow-up to close findings with verified effectiveness
Travel: High travel

Pay and Benefits

Salary: USD 123,000 - 285,000 annually
Equity and Bonus:Equity

Key Requirements

  • •7+ years of experience in quality engineering, manufacturing quality, supplier quality, or reliability for interconnects or high-speed hardware used in servers, networking, storage, or high-performance compute systems.
  • •Hands-on experience with high-speed copper interconnect products: connectors and/or cable assemblies; familiarity with patch panels or backplane/cable-backplane solutions is a plus
  • •Strong command of problem-solving and quality tools: 8D, 5-Whys, Fishbone, PFMEA/control plans, SPC/MSA (gauge R&R), and change control.
  • •Ability to read and interpret mechanical drawings, GD&T basics, and electrical/interface specifications; comfortable working across ME/EE/SI disciplines.
  • •Experience driving supplier/CM improvements (audits, scorecards, CAPA) and managing nonconformance/MRB workflows.
Experience:7+ yearsHigh-speed hardwareInterconnectsHardware qualitySupplier quality
Skills:Problem-solvingCommunicationCollaboration
Tech Stack:GD&TDFM/DFx8DPFMEASPCMSARCACAPAVNAEye diagram

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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