Robotics Manufacturing Process Engineer

Foundry Robotics; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Comprehensive health coverage

Generous PTO

Job summary

Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. We’re building robots that build robots, reimagining manufacturing through AI-first approaches.

As a Manufacturing Process Engineer, you will design from concept to production, establish workflows, tooling, and fixtures, and drive rapid build-test-learn cycles to deliver robust, scalable

Qualifications

• 3-5 years of experience in manufacturing or process engineering in a large-volume production environment.
• Work closely with software teammates to shape and develop an MES built for autonomous robotic manufacturing, contributing the process and floor level-expertise.
• Develop and optimize manufacturing processes for robotic subassemblies and full systems with a focus on repeatability, efficiency and scalability.
• Proven ability to build production processes from the ground up, and improve upon existing processes.
• Hands-on experience designing tooling and fixtures, with proficiency in 3D CAD (SolidWorks, CATIA, or equivalent) and familiarity with fastening systems, jigs and assembly automation hardware.
• Comfortable owning process documentation and standardization.
• Equally effective at a desk and on the shop floor, you have deep hands-on experience and know how to move through a production environment, build hardware, and solve problems in real time.
• Experience tracking and improving manufacturing metrics (cycle time, takt time, OEE, yield).
• Experience providing DFM/DFA input in a cross-functional product development environment.
• Collaborative by nature, you consider downstream impacts on quality, supply chain, and operators when making process decisions.
• Bias toward action, scrappy problem solving, and moving fast without sacrificing rigor.

Responsibilities

• Design and build production processes from scratch for autonomous robotic assembly systems, defining how AI-driven hardware gets made at scale
• Develop and optimize assembly lines with a focus on throughput, yield, and scalability from early production to high-volume output
• Create and own process documentation, work instructions, SOPs, and control plans that enable repeatable, scalable manufacturing
• Develop tooling and fixtures that reduce variation, minimize operator error, and support efficient assembly
• Work hands-on on the shop floor, validating processes, identifying bottlenecks, and iterating quickly alongside the team
• Support relationships with external vendors and contract manufacturers, providing process input and feedback during development
• Collaborate cross-functionally with mechanical, electrical, and robotics teammates to ensure processes are designed with the full system in mind
• Define and track key manufacturing metrics including cycle time, takt time, OEE, and defect rate, and use data to drive continuous improvement
• Experience providing DFM/DFA input in a cross-functional product development environment
• Collaborative by nature, you consider downstream impacts on quality, supply chain, and operators when making process decisions
• Bias toward action, scrappy problem solving, and moving fast without sacrificing rigor

Skills

Hands-on tooling design

3D CAD (SolidWorks / CATIA)

Process optimization

MES collaboration

Tools

SolidWorks

CATIA

Job description

Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. We’re building robots that build robots, reimagining manufacturing through AI-first approaches.

As a Manufacturing Process Engineer, you will design from concept to production, establish workflows, tooling, and fixtures, and drive rapid build-test-learn cycles to deliver robust, scalable