What are the responsibilities and job description for the Manufacturing Test Engineer position at Feather Robotics?
Overview
We’re seeking a Manufacturing Test Engineer who wants to do their life’s work advancing general-purpose labor—someone driven to become the best in their craft. You’ll thrive in a small, tight-knit team with real ownership. This is the chance to bet on yourself, build the future, and create impact far beyond the lab.
Company Description
Feather Robotics, a VC-backed startup, is assembling a world-class team to build general-purpose robots. While competitors pursue end-to-end integration, Feather is relentlessly focused on creating the best labor platform, akin to Apple and Nvidia, for others to build, monetize, and scale on.
Feather blends cutting-edge robotics and AI with speed, capital efficiency, and go-to-market innovation. In under six months, Feather became one of the fastest humanoid companies to revenue with 6 LOIs and 5 paid orders (vs 31 months for Figure).
Responsibilities:
- Design and build end to end manufacturing test processes and continuously improve Feather production.
- Develop software to run tests and record test data.
- Create SOPs and documentation for test procedures for Engineering Technicians.
- Lead and manage technicians during production processes.
- Build and develop manufacturing operating system (MOS).
- Create inventory management software to serialize and record test results to each unit.
- Root cause production testing failures and create documentation for fixing the issues.
- Creating DOEs to build pass and fail parameters for test procedures.
Qualifications
- Bachelors or Masters in Software/Electrical/Mechanical Engineering (or equivalent).
- Experience designing and building test processes for large scale manufacturing lines.
- Experience in manufacturing documentation and SOPs.
- Leadership experience working with Technicians.
- Basic CAD skills is a plus.
- Proficiency in necessary coding languages to build an MOS system including (C , Python, Rust).
- Organization skills in documentation and process recording.
- Proficient in PFMEA and data analysis.