Senior Manufacturing Software Engineer, Formlabs

• This role is ideal for engineers who thrive in fast-paced environments, care deeply about system reliability and product quality, and want to own software that powers physical manufacturing at scale
• You are passionate about manufacturing and eager to develop tests and software services used to build thousands of printers and related products worldwide
• Have 5-10+ years of software development experience, ideally including ownership of production systems used in a manufacturing or hardware environment, robotics, or electromechanical systems
• Have strong proficiency in Python, Linux, and SQL, with fluency in common dev tools (Git, Docker, SSH, etc.)
• Strong understanding of software integration with embedded systems, electrical, and mechanical engineering and comfortable leading projects with interdisciplinary teams
• Take pride in building robust, maintainable systems—and you’re not afraid to dive into a prototype setup to debug issues on the line
• Communicate clearly, proactively manage projects and multiple priorities, and thrive in environments where quick decision-making and knowledge sharing are key

Desirable

• As a Senior Manufacturing Software Engineer, you’ll lead the design and development of factory software systems that bring electromechanical products from prototype to high-volume production
• You’ll work at the intersection of hardware and software, building test and calibration infrastructure, integrating tightly with our hardware and operations teams, and making production data visible and actionable across our global supply chain
• Own the architecture, development and maintenance of factory software systems to support calibration and testing of complex electromechanical systems
• Collaborate with electrical, mechanical, firmware, and manufacturing teams to define test strategies and deploy robust, scalable tools across multiple production sites to ensure projects are delivered successfully and on time
• Build and support internal tools and services for collecting, storing, and analyzing manufacturing data (e.g., calibration results, EMS logs, configuration and test data)
• Apply data science tools to extract meaningful insights from manufacturing performance data and feed that back into design, quality, and operational decision-making
• Continuously improve our development, testing and deployment processes to streamline software releases across our global factories