Product Engineer - Manufacturing Operations

Location: Remote-friendly within the United States; staff are expected to be in an Anthropic office at least 25% of the time. Up to 50% travel to partner factories in the US and abroad is required.

Annual salary: $320,000–$405,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems and develops large-scale AI research and infrastructure.

What you will do

• Own hardware products at contract manufacturers and ODMs from early development builds through mass production.
• Audit assembly and test processes, establish yield targets, confirm test coverage, and approve production transitions.
• Scale manufacturing across lines, sites, and manufacturers without yield or throughput regressions.
• Lead cross-functional root-cause investigations into manufacturing and field failures and drive corrective actions.
• Manage engineering changes, including BOM and PLM updates, cut-in planning, partner training, validation, and RMA monitoring.
• Bring manufacturing requirements and validation data into development reviews and prioritize fixes before each build.

Requirements

• Experience carrying a hardware product from early builds through mass production at a contract manufacturer or ODM.
• Experience setting up or improving assembly and test processes and driving yield, quality, and schedule commitments.
• Practical expertise with DFM, FMEA, SPC, 8D, or similar manufacturing and root-cause methods.
• Ability to create product-specific test plans, assess test coverage, and translate failure data into decisions.
• Clear communication with factory engineers, operations staff, and leadership.
• Bachelor’s degree or equivalent practical experience in Electrical, Mechanical, Industrial, Materials Engineering, or a related field; willingness to travel up to 50%.

Nice to have

• Technical leadership experience on server, storage, switch, rack, or accelerator programs.
• Experience establishing a new manufacturing line or site or onboarding a second contract manufacturer.
• Experience with liquid-cooled or high-power-density rack systems.
• Master’s degree in a relevant engineering discipline.
• Experience with sourcing, supply chain, component qualification, and multi-sourcing strategies.

Culture & Benefits

• Collaborative environment focused on large-scale AI research and reliable AI systems.
• Flexible working hours and an office environment for collaboration.
• Generous vacation and parental leave.
• Competitive compensation and optional equity donation matching.
• Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.