Product Engineer - Manufacturing Operations

Anthropic; San Francisco (CA); Hybrid; USD 320,000 - 405,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

SF office

Job summary

Anthropic is seeking a Product Engineer for Manufacturing Operations to own hardware products at the factory, gathering manufacturing, test, and yield concerns and driving necessary fixes before mass production. You will deliver engineering changes and degenerate field issues by root-causing problems and coordinating with ODMs/CMs.

This hands-on role requires strong collaboration with cross-functional teams. Travel to partner factories up to 50% of the time is expected.

Qualifications

• Bachelor's degree in Electrical, Mechanical, Industrial, or Materials Engineering or equivalent
• Ability to translate failure data into clear decisions
• Experience with manufacturing partner relations and yield improvements
• Willingness to travel up to 50% to partner sites

Responsibilities

• Own hardware product at the factory from development to mass production
• Gather manufacturing, test, and yield concerns and drive fixes
• Sign off readiness to move to next stage in build
• Deliver engineering changes with minimal disruption in mass production
• Lead corrective actions with ODM/CM and root cause field issues

Skills

Root cause analysis

Cross-functional collaboration

Troubleshooting

Technical communication

Education

Bachelor's degree in Electrical, Mechanical, Industrial, or Materials Engineering

Master's degree in a relevant engineering discipline

Tools

DFM

FMEA

SPC

8D

PLM

Job description

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 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.

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.

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

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.