offres.tech
StellenUnternehmenGehälterTrends
Position, Unternehmen, Technologie…
  • 🇫🇷Français
  • 🇬🇧English
  • 🇪🇸Español
  • 🇮🇹Italiano
  • 🇩🇪Deutsch
Anmelden
StellenUnternehmenGehälterTrends

Konto

Mein BereichBewerbungenFavoritenBeobachtet
Sprache
  • 🇫🇷Français
  • 🇬🇧English
  • 🇪🇸Español
  • 🇮🇹Italiano
  • 🇩🇪Deutsch
StellenAnthropic

Product Engineer - Manufacturing Operations

Anthropic · KI & Data

Remote-Friendly, United StatesEntwicklung6. September 2026Quelle: Greenhouse
Anzeige auf Englisch
Gehalt320–405 k$/Jahr

Prüfen aufLevels.fyi (neuer Tab)Glassdoor (neuer Tab)


Remote
Ja
Standort
Remote-Friendly, United States

Bewerben (neuer Tab)

Die Schaltfläche «Bewerben» öffnet das Formular von Anthropic. Offres.tech nimmt keine Bewerbungen entgegen.

Über den AnbieterAnbieterprofilWebsite (neuer Tab)

Aktualität der Anzeige

AktivBeim Anbieter geprüft vor 9 Min.

Beim Anbieter noch gelistet, vor weniger als einem Monat veröffentlicht.

  • Seit 10 T online
  • Einmal neu veröffentlicht
  • Anthropic nimmt Anzeigen im Median nach 20 T offline (55 geschlossene Anzeigen beobachtet)

Alle sechs Stunden auf der Website des Anbieters geprüft. Das Alter zählt ab dem ursprünglichen Veröffentlichungsdatum, auch nach einer Neuveröffentlichung.

Beschreibung

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

Anthropic is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built.

As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures.

This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership.

Representative projects

  • Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition.

  • Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions.

  • Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required.

  • Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor field failures/RMA.

  • Bring manufacturing requirements and validation data into each development phase review so the engineering team has a single prioritized list of what to fix before the next build.

You may be a good fit if you

  • Have carried a hardware product from early builds through mass production at a contract manufacturer or ODM.

  • Have set up or improved assembly and test processes at a manufacturing partner and drove yield, quality, and schedule commitments.

  • Use structured manufacturing and root-cause methods (DFM, FMEA, SPC, 8D or similar) as a matter of habit, and are an expert at translating messy failure data into clear decisions.

  • Can write a product-specific test plan and judge whether test coverage is sufficient.

  • Communicate clearly with partner engineers and operations staff on the floor as well as with leadership in a readout.

  • Are willing to travel to partner sites up to 50% of the time.

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

Strong candidates may also

  • Have been the technical lead for a data center hardware program such as: server, storage, switch, rack, or accelerator.

  • Have stood up a new manufacturing line or site, or brought up a second CM for an existing product.

  • Have experience with liquid-cooled or high-power-density rack systems.

  • Possess a Master's degree in a relevant engineering discipline.

  • Have worked closely with sourcing and supply chain teams on component qualification and multi-sourcing strategies.

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.

Ähnliche Angebote

Gleiche Funktion, ähnlicher Titel und ähnliche Technologien, unter den offenen Angeboten in Frankreich.

  • Product ML Engineer

    PhotoRoom · Paris · Machine Learning Team

    UnbefristetRemote
    Gehalt nicht angegeben1 Monat
  • Senior Product Engineer - Android/Kotlin

    Qonto · Paris, France · Tech & Data

    Unbefristet
    Gehalt nicht angegeben10 Tage
  • Infrastructure Engineer

    Dataiku · France, Remote · Engineering

    Remote
    Gehalt nicht angegeben10 Tage
  • Staff Engineer (M/F/D)

    JobTeaser · Paris, IDF, France · Engineering

    PraktikumRemote
    Gehalt nicht angegeben2 Tage
  • Senior iOS Engineer

    PhotoRoom · Paris · R&D

    UnbefristetRemote
    90–110 k€/Jahr6 Tage
  • Alternance Junior QA Engineer

    Chapsvision · Paris, France

    Ausbildung
    Gehalt nicht angegeben7 Tage

Die Website

StellenUnternehmenGehälterTrendsTop 25 außerhalb Frankreichs

Ihr Bereich

Mein BereichBewerbungenFavoritenBeobachtet

Quellen

Greenhouse · Lever · Ashby · Personio · SmartRecruiters · Workday · France Travail

Standardmäßig werden nur Angebote mit Sitz in Frankreich angezeigt. Funktion, Seniorität und Vertragsart werden automatisch und unverbindlich klassifiziert. Der Tech-Sektor ist der Hauptsektor des Anbieters, manuell zugewiesen.

© 2026 offres.tech