Manufacturing Engineer, Data Center Hardware at Anthropic

Confirmed open

Anthropic is hiring a manufacturing engineer, data center hardware focused on manufacturing engineering for data center hardware.

Anthropic

Location: Remote
Work arrangement: remote

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Role overview

The Manufacturing Engineer - Data Center Hardware opening at Anthropic is centered on Deliver technical or research work for manufacturing engineering for data center hardware. The employer also lists Collaborate with research, engineering, security, infrastructure and operations teams. and Improve reliability, testing, documentation and operational readiness. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: Anthropic is hiring a manufacturing engineer, data center hardware focused on manufacturing engineering for data center hardware. The source material available for this page does not provide a complete technology list.

The posting identifies Relevant professional experience in IT, data center security, manufacturing, machine learning or research engineering. and Strong analytical, communication and systems skills. as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Remote-Friendly, United States. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with Anthropic before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.

Responsibilities

Deliver technical or research work for manufacturing engineering for data center hardware.
Collaborate with research, engineering, security, infrastructure and operations teams.
Improve reliability, testing, documentation and operational readiness.
Translate complex technical questions into measurable systems or research outcomes.

Qualifications

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 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.
A Master's degree or better in a relevant engineering discipline.
The annual compensation range for this role is listed below.
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.
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.

Technology in this role

R: 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 .
CAN: Are comfortable on the factory floor and can diagnose a process problem through observation and analysis of factory .

Benefits

Remote-friendly United States arrangement as stated; travel or office requirements vary by role.
Opportunity to support Anthropic’s frontier AI and safety mission.

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.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

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Source checked: 2026-10-09