Senior Manufacturing Quality Engineer, Data Center Power & Cooling

Anthropic•San Francisco, NY

2d•Hybrid

About The Position

Anthropic is building and securing data center capacity at an unprecedented pace. The power and cooling equipment for these sites is long-lead, high-value, and unforgiving of defects. A single nonconformance discovered at site can cost weeks of schedule. This role is for a Senior Manufacturing Quality Engineer to own quality at the source: inside our OEMs' and integrators' factories. The engineer will qualify suppliers, define acceptance criteria, witness factory acceptance tests, drive corrective action to closure, and ensure equipment leaves the factory complete, conforming, documented, and ready to install. This is a hands-on individual-contributor role on the Compute DC Infrastructure team, partnering daily with Electrical and Mechanical Engineering, Strategic Sourcing, Construction, and Commissioning. The emphasis is technical quality engineering at manufacturing facilities.

Requirements

6–10+ years of quality engineering, manufacturing quality, or supplier quality experience in electrical or mechanical equipment manufacturing, mission-critical infrastructure, or a comparable regulated/high-consequence industry.
Hands-on experience with at least one side of the data center equipment stack — medium/low-voltage switchgear, UPS, generators, transformers, busway, or chillers, CDUs, air handlers, pumps — and the curiosity to come up to speed fast on the other.
Proven record planning and witnessing FATs and conducting supplier audits, with the judgment to know when to hold a shipment and when to accept with deviation.
Deep fluency in structured problem-solving and quality tools: 8D, RCA, FMEA, SPC, control plans, PPAP or equivalent.
Able to read electrical one-lines, P&IDs, and mechanical drawings and check a build against them.
Strong technical writing — you produce ITPs, audit reports, and NCR packages that stand on their own.
Comfortable operating with high autonomy and ambiguity, and communicating clearly to engineers, suppliers, and leadership.
Bachelor's degree in Electrical, Mechanical, Manufacturing, or Industrial Engineering, or equivalent experience.

Nice To Haves

Experience with hyperscale or AI data center equipment supply chains, or with OFCI (owner-furnished, contractor-installed) delivery models.
Familiarity with liquid-cooling systems (CDUs, manifolds, quick disconnects) and the cleanliness, pressure, and leak-test regimes they require.
Working knowledge of relevant standards: UL 891/1558/1778, IEEE C37, NEMA, AHRI 550/590, ASHRAE 90.4, ASME B31.x, ISO 9001 auditing.
ASQ CQE/CQA, Six Sigma Green/Black Belt, or lead-auditor certification.
Experience standing up a supplier quality function or QMS from a small base.
Proficiency with QMS/ERP platforms and data tools (SQL, Power BI, or similar).

Responsibilities

Lead quality qualification of new and existing suppliers of power and cooling equipment, including on-site process audits, capability assessments, and manufacturing readiness reviews (MRRs) ahead of production release.
Translate Anthropic engineering specifications into supplier-facing quality requirements: inspection and test plans (ITPs), acceptance criteria, witness/hold points, and documentation deliverables.
Partner with Strategic Sourcing to embed quality requirements, Supplier Quality Agreements, and FAT/documentation expectations into RFPs and contracts.
Plan, witness, and sign off factory acceptance tests (FATs) for electrical gear (switchgear, UPS, transformers, gensets, busway, PDUs) and mechanical systems (chillers, CDUs, CRAH/fan walls, dry coolers, pumps, piping skids), including functional, performance, and integrated-system testing.
Conduct in-process and pre-shipment inspections at supplier facilities; verify build-to-print conformance, workmanship, labeling, and traceability.
Review and approve supplier test reports, quality data packages, and turnover documentation; ensure equipment ships complete and installation-ready.
Own the nonconformance (NCR) and deviation process for factory-found issues; lead containment, disposition, and root-cause analysis using 8D, 5-Why, FMEA, and fault-tree methods.
Drive supplier corrective and preventive actions (CAPA) to verified closure with measurable, sustained improvement.
Investigate field-reported defects that trace back to manufacturing, and feed lessons learned into supplier requirements, ITPs, and future RFPs.
Define and track supplier quality KPIs — first-pass FAT yield, defect rate, NCR aging, on-time documentation, supplier scorecards — and report them in quarterly supplier business reviews.
Apply SPC and statistical analysis to supplier process data to identify systemic risk before it reaches a FAT.
Help build the quality framework for a rapidly scaling, multi-supplier, multi-region equipment pipeline — templates, checklists, audit standards, and the operating rhythm around them.