Manufacturing Process Engineer
- Market p25–p75
- $161k–$239k
- Foundry Robotics p25–p75
- $200kn=3
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +1,5204% of open
- All software engineering
- 74,988open
About Us
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. Basically, we’re building robots that build robots.
We are reimagining manufacturing through advanced robotics. Our mission is to rebuild the American manufacturing industry as an AI-first, assembly-focused, dual-use contract manufacturer. We aim to empower manufacturers with intelligent, efficient, and adaptable robotic systems that redefine productivity and quality. As a founding member of our engineering team, you will have a direct and significant impact on our product, culture, and ultimate success. This role is 100% in-person at our office in Emeryville, CA.
The Role
This role is for a Manufacturing Process Engineer who thrives on turning ideas into production reality, equally comfortable architecting systems from first principles and proving them out hands-on on the factory floor. You will define how our robotic systems are built, from early process concept through full-scale production, developing assembly strategies, designing tooling, and establishing workflows where none currently exist. You will stand up production capability from scratch, making core decisions across sequencing, fixturing, automation integration, and quality control. You will drive rapid build-test-learn cycles to deliver processes that are both robust and scalable.
Key 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
What We're Looking For
Founder mentality: We love people who build like it’s their own company. You move fast, take ownership, and find a way through when the path isn’t obvious. You have the drive to make big things happen and the judgment to take smart risks along the way. If you prefer a clearly defined lane, a predictable pace, and all the answers before you start, there’s nothing wrong with that—but Foundry might not be the right fit.
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)