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Software Development

Manufacturing Engineer - Data Center Hardware

Anthropic · Friendly, United States · Remote

Software DevelopmentRemoteFriendly, United States$320,000 – $405,000 USD
RemoteJobs editorial overview

Strategic Overview

Manufacturing Engineer - Data Center Hardware at Anthropic is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as Design and document the assembly, rack integration, and test process for new server and rack products, including work instructions, process flows, takt and cycle time targets, and line layout. Lead new line and new site bring-up at CM/ODM partners, from…

The role is listed for Friendly, United States with remote working arrangement, giving candidates the practical context needed to assess fit before applying.

Job seeker snapshot

Key information at a glance

Role focusSoftware Development
LocationFriendly, United States
WorkplaceRemote
Experience8+ years of experience
Salary$320,000 – $405,000 USD
PostedAug 24, 2026
Last seenOct 25, 2026
Role context

About This Role

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

We want AI to be safe and beneficial for our users and for society as a whole.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

What the role delivers

Key Responsibilities & Objectives

  • Design and document the assembly, rack integration, and test process for new server and rack products, including work instructions, process flows, takt and cycle time targets, and line layout.
  • Lead new line and new site bring-up at CM/ODM partners, from process validation and capacity verification through pilot builds and release to mass production.
  • Specify, source, and validate tooling, fixtures, and test equipment.
  • Own first-pass yield, cycle time, and process capability in production; run SPC, analyze failure and rework data, and drive corrective actions with manufacturing partners.
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • Have 8+ years of experience in manufacturing engineering or process engineering for complex electromechanical or electronics products built at a contract manufacturer or ODM.
  • Have a degree in Mechanical, Industrial, Manufacturing, or Electrical Engineering, or equivalent practical experience.
  • Experience with liquid-cooled rack integration, including cold plates, manifolds, CDUs, and leak and fill test processes.
Additional fit signals

Preferred Qualifications

  • Experience manufacturing servers, racks, switches, or accelerator systems at data center scale.
  • Experience with liquid-cooled rack integration, including cold plates, manifolds, CDUs, and leak and fill test processes.
  • Experience with SMT and PCBA process, box build, and rack\-level system integration and test.
Compensation & benefits

Salary & Benefits

Published compensation: $320,000 – $405,000 USD

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As a Manufacturing Engineer within the Data Center Infrastructure organization, you will own how Anthropic's servers, racks, and accelerator systems are built at our contract manufacturing and ODM partners. You will design and qualify the assembly, integration, and test processes for each product, bring up new lines and new sites, and drive yield, cycle time, and manufacturing cost once a product is in production. As a subject matter expert in electronics and rack-level manufacturing, you will give the design team early manufacturability feedback, set the process standards our partners build to, and be on the floor when a line is coming up or a yield problem needs solving. If you have built manufacturing processes for complex hardware at a CM or ODM, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply.

This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable addressing issues on the line as you are presenting a vendor improvement plan to leadership.

Responsibilities Include:

  • Design and document the assembly, rack integration, and test process for new server and rack products, including work instructions, process flows, takt and cycle time targets, and line layout.

  • Lead new line and new site bring-up at CM/ODM partners, from process validation and capacity verification through pilot builds and release to mass production.

  • Specify, source, and validate tooling, fixtures, and test equipment.

  • Own first-pass yield, cycle time, and process capability in production; run SPC, analyze failure and rework data, and drive corrective actions with manufacturing partners.

  • Provide design-for-manufacturing and design-for-test feedback during product development and represent manufacturing in pilot build reviews.

  • Qualify process changes and engineering changes on the line, including PFMEA updates, control plan revisions, and operator training, before changes are cut in.

  • Replicate a qualified process from one line or site to another without a yield or throughput regression, and audit partner lines against Anthropic standards.

  • Partner with product engineering, test engineering, quality, and supply chain to resolve systemic build issues and reduce per unit cost.

You may be a good fit if you:

  • Have 8+ years of experience in manufacturing engineering or process engineering for complex electromechanical or electronics products built at a contract manufacturer or ODM.

  • Have designed and released a production process end to end, including line layout, work instructions, fixtures, and test, and owned its yield and cycle time in mass production.

  • Have led a new line or site bring-up at a manufacturing partner.

  • Are experienced with common manufacturing engineering tools such as: PFMEA, control plans, SPC, process capability, gauge R&R, DFM/DFT, and structured root cause methods such as 8D.

  • Are comfortable on the factory floor and can diagnose a process problem through observation and analysis of factory telemetry.

  • Communicate clearly with partner engineers and operators on the floor and with leadership in a readout.

  • Can travel to partner manufacturing sites, domestic and international up to 50% of the time.

  • Have a degree in Mechanical, Industrial, Manufacturing, or Electrical Engineering, or equivalent practical experience.

It’s a bonus if you have:

  • Experience manufacturing servers, racks, switches, or accelerator systems at data center scale.

  • Experience with liquid-cooled rack integration, including cold plates, manifolds, CDUs, and leak and fill test processes.

  • Experience with SMT and PCBA process, box build, and rack\-level system integration and test.

  • Experience qualifying a second CM or second site for an existing product.

  • Experience with lean and continuous improvement methods (value stream mapping, kaizen, Six Sigma) applied at a manufacturing partner.

  • A Master's degree or better in a relevant engineering discipline.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:
$320,000—$405,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This dev opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Design and document the assembly, rack integration, and test process for new server and rack products, including work instructions, process flows, takt and cycle time targets, and line layout. — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencygreenhouse

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.