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Anthropic

Builds Claude AI models with a focus on safety

Manufacturing Quality Engineer - Data Center Power & Cooling

Full-TimeUpdated on 10/23/2026
$320k - $405k/yr
Senior, Expert
Bachelor's
San Francisco, CA, USA+1 moreMore locations: New York, NY, USA
Hybrid
Manufacturing Quality & TestQuality Engineering
H1B Sponsorship Available

About the job

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 or high-consequence industry.
  • Hands-on experience with at least one side of the data center equipment stack, including medium- or low-voltage switchgear, UPS, generators, transformers, busway, chillers, CDUs, air handlers, or pumps.
  • A proven record planning and witnessing factory acceptance tests and conducting supplier audits, with judgment to decide when to hold a shipment and when to accept with deviation.
  • Fluency in structured problem-solving and quality tools, including 8D, root-cause analysis, FMEA, statistical process control, control plans, and PPAP or equivalent.
  • Ability to read electrical one-line diagrams, P&IDs, and mechanical drawings and check a build against them.
  • Ability to produce technical documents such as inspection and test plans, audit reports, and nonconformance packages.
  • Bachelor's degree in Electrical, Mechanical, Manufacturing, or Industrial Engineering, or equivalent experience.
Responsibilities
  • Qualify new and existing power and cooling equipment suppliers through on-site process audits, capability assessments, and manufacturing readiness reviews before production release.
  • Translate engineering specifications into supplier-facing quality requirements, including inspection and test plans, acceptance criteria, witness and hold points, and documentation deliverables.
  • Partner with Strategic Sourcing to incorporate quality requirements, Supplier Quality Agreements, and factory acceptance test and documentation expectations into RFPs and contracts.
  • Plan, witness, and approve factory acceptance tests for electrical gear and mechanical systems, 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 ready for installation.
  • Own the factory nonconformance and deviation process; lead containment, disposition, and root-cause analysis using 8D, 5-Why, FMEA, and fault-tree methods.
  • Drive supplier corrective and preventive actions to verified closure with measurable, sustained improvement.
  • Investigate field-reported defects traced to manufacturing and incorporate lessons learned into supplier requirements, inspection and test plans, and future RFPs.
  • Define and track supplier quality KPIs, including first-pass factory acceptance test yield, defect rate, nonconformance aging, on-time documentation, and supplier scorecards; report metrics in quarterly supplier business reviews.
  • Apply statistical process control and statistical analysis to supplier process data to identify systemic risk before factory acceptance testing.
  • Develop the quality framework for a scaling, multi-supplier, multi-region equipment pipeline, including templates, checklists, audit standards, and its operating rhythm.
Desired Qualifications
  • Experience with hyperscale or AI data center equipment supply chains, or owner-furnished, contractor-installed delivery models.
  • Familiarity with liquid-cooling systems, including CDUs, manifolds, and quick disconnects, and their cleanliness, pressure, and leak-test requirements.
  • Working knowledge of relevant standards, including UL 891/1558/1778, IEEE C37, NEMA, AHRI 550/590, ASHRAE 90.4, ASME B31.x, and ISO 9001 auditing.
  • ASQ CQE/CQA, Six Sigma Green/Black Belt, or lead-auditor certification.
  • Experience establishing a supplier quality function or quality management system from a small base.
  • Proficiency with quality management system or ERP platforms and data tools such as SQL or Power BI.

About the company

Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.

Company Size

5,001-10,000

Company Stage

Debt Financing

Total Funding

$242.8B

Headquarters

San Francisco, California

Founded

2021

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Simplify's Take

What believers are saying

  • Sales are multiplying: Anthropic's yearly revenue pace topped $65 billion in July 2026, over sevenfold since December 2025.
  • IPO plans advanced: October 2026 reports describe investor meetings and a mid-November listing target; staff shares face lockups.
  • Lower office minimum: 627 of 646 Anthropic job posts in October 2026 require at least 25% office time.

What critics are saying

  • Job security rides on growth: Anthropic's IPO prospectus lists $518 billion in cloud and computing bills due in coming years.
  • Defense work stays off-limits: in September 2026, appeals judges voted 2-1 to let the Pentagon keep blacklisting Anthropic.
  • Growth is priced in: Anthropic's valuation reached $965 billion in May 2026, up from $380 billion in February.

What makes Anthropic unique

  • Investors don't control its board alone: Anthropic's independent Long-Term Benefit Trust elects a growing number of directors.
  • It isn't tied to one chipmaker: Claude runs on Nvidia GPUs plus custom AI chips designed by Google and Amazon.
  • It holds back its riskiest model: Claude Mythos 5.1, launched September 2026, goes only to vetted cyberdefenders and life scientists.

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Benefits

  • Flexible Work Hours
  • Paid Vacation
  • Parental Leave
  • Hybrid Work Options
  • Company Equity

Growth & Insights and Company News

6 month growth

-3%

1 year growth

2%

2 year growth

-3%
Bloomberg
Oct 23rd, 2026
UK commits $127M to AI biosecurity lab backed by OpenAI, Anthropic and Google DeepMind

The UK has announced £100 million ($134 million) for an AI Biosecurity Lab, which OpenAI, Anthropic, and Google DeepMind will support. The funding is part of a package of measures to help the government understand and tackle the risks posed by the technology.

DealStreetAsia
Oct 22nd, 2026
Blackstone eyes AI financing boom, with 7% of its $1.4T assets already exposed

Blackstone sees growing opportunities to finance artificial intelligence (AI) infrastructure, from chips and computing equipment to power generation and data centres. "The needs of capital here are so enormous. It's unprecedented in our lifetimes," President Jon Gray said on the firm's third-quarter earnings call. The firm is reportedly committing $9 billion to a junior-debt tranche in an $18 billion financing package for Anthropic's AI chips and computing infrastructure, part of a broader $60 billion arrangement. In June, its Credit & Insurance business joined a $35 billion financing launched by Apollo and Broadcom for Anthropic. Blackstone is also weighing dedicated investment vehicles alongside broader funds. About 7% of its $1.4 trillion in assets under management is exposed to AI infrastructure. Gray said the firm focuses on physical infrastructure and long-term contracted assets to manage risks such as technological obsolescence.

PR Newswire
Oct 22nd, 2026
Cube joins Claude's connector directory, bringing live, permissioned FP&A data to finance teams

Cube, an agentic financial planning and analysis (FP&A) platform, has partnered with Anthropic to make its financial model available inside Claude. Finance teams can now add Cube through Claude's connector directory. The connector gives Claude the chart of accounts, business logic, and enterprise permissions behind a company's numbers. Each user sees only the data they are authorised to access, and figures can be traced to the source transaction. Users sign in through a secure OAuth flow, with no API keys to manage. They can then ask questions in plain English, such as comparing actuals with forecast, or set up new scenarios. "Data tells AI what the numbers are. Financial context tells AI what the numbers mean," said Christina Ross, founder and chief executive officer of Cube. The Cube MCP Server is available now.

Associated Press
Oct 22nd, 2026
Qlik's MCP server joins Anthropic's Claude Directory, bringing governed data to Claude

Qlik has made its Model Context Protocol (MCP) server available through Anthropic's Claude Directory. Claude users can now connect governed Qlik data, analytical logic, and selected analytics workflows more easily. The server gives Claude access to data lineage, trust signals, and business metrics from Qlik Cloud. Users can search apps and datasets, ask questions in natural language, and create dashboards with prompts. Teams no longer need to rebuild business logic elsewhere. Access runs on OAuth-based authentication and existing Qlik Cloud permissions, so enterprise controls stay in place. "Customers adopting Claude want more than an LLM hooked to raw records," said Josh Good, vice president of corporate strategy at Qlik. The company announced the news on October 22, 2026.

CNBC
Oct 21st, 2026
Anthropic previews Claude Duet, a proactive AI agent rivalling Meta's Muse and OpenAI's Dots

Anthropic on Wednesday announced a preview of Claude Duet, an AI agent for small businesses and professionals. It can send daily briefs, keep tabs on connected apps, and carry out tasks such as building dashboards, scheduling meetings, and creating financial forecasts. The launch follows Meta's Muse, which topped Apple's App Store after its launch last month, and OpenAI's Dots. Meta chief executive officer Mark Zuckerberg said more than 10 million people in the US and Canada have set up Muse agents. Anthropic said Duet is still early and "might misread a thread or miscalibrate what's urgent." Personal errands, such as booking tickets, are not "quite as strong." A waitlist is open. Pro and Max subscribers can use the preview through a standalone app or the Claude website.