Diamond Foundry

HQ
San Francisco
Total Offices: 3
158 Total Employees
Year Founded: 2012

Diamond Foundry Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers childcare benefits

Offers generous parental leave

Provides family medical leave

Offers company equity

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers dependent care

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Offers sabbatical leave

Provides military leave

Offers paid volunteer time

Provides paid sick days

Provides bereavement leave

Company Culture

Offers a remote work program

Provides free snacks and drinks

Offers legal assistance

6 Days AgoSaved
In-Office
6 Locations
Fashion
Develop and troubleshoot production-line control software and systems using Python. Automate and optimize inspection tools, CNC lasers, parts handlers, and CVD reactors; integrate devices through industrial communication protocols; improve data collection and operator workflows; collaborate with engineers and technicians; document systems, train users, and troubleshoot hardware on the manufacturing floor.
6 Days AgoSaved
In-Office
6 Locations
Fashion
Design, develop, optimize, and integrate semiconductor-grade equipment and automation systems for diamond wafer production. Collaborate with vendors, manufacturing teams, and process engineers to improve throughput, efficiency, and reliability. Create equipment documentation and troubleshooting procedures while performing hands-on fabrication, assembly, tolerance analysis, and equipment development.
7 Days AgoSaved
In-Office
Zaragoza, Aragón, ESP
Fashion
Develops and maintains metrology systems for 3D measurement, dimensional analysis, surface characterization, and defect detection. Responsibilities include designing hardware and measurement routines, training and evaluating deep learning computer vision models, creating monitoring and post-processing tools, analyzing data, and collaborating with R&D, process, production, and equipment vendors to improve measurement capacity and throughput.