Software Engineer I, Instrument Software at Lila Sciences · Cambridge

Summary: Lila Sciences is hiring a Software Engineer to develop the next generation of Lab Instrument Integration Software for their AI-enabled laboratory. The role involves developing software for communication between lab instruments and automation hardware, ensuring seamless integration and providing technical support to cross-functional teams. Responsibilities: - Develop robust software to enable communication between robotics and automation hardware (e.g., robotic arms, liquid handlers, sensors) and the control software, ensuring reliable and efficient hardware integration - Seamlessly integrate lab instruments into our Next Generation, AI-enabled lab automation infrastructure, managing complex interfaces between cloud and edge infrastructure, and device execution - Perform rigorous testing, debugging, and troubleshooting of drivers to identify, isolate, and rectify performance issues, bugs, and compatibility challenges - Create, update, and maintain clear, comprehensive documentation for driver interfaces, APIs, and integration methods, facilitating ease of use by internal teams and end-users - Work closely with cross-functional teams, including hardware engineers, software developers, product managers, and end-users, providing technical support and resolving integration challenges promptly - Work with state of the art coding models and development infrastructure to improve the speed and quality of software delivery Required Qualifications: - Proficiency in Python, C#/.NET, or other programming languages or frameworks is essential - Demonstrated ability in debugging and problem-solving, preferably hardware-software integration issues - Strong analytical thinking and a structured approach to troubleshooting and resolving complex technical problems - Strong verbal and written communication skills to collaborate effectively with multidisciplinary teams Preferred Qualifications: - A strong interest in or background in science - Experience in developing software for laboratory automation systems or robotics used in life sciences, pharmaceutical, or similar industries - Experience working directly with end-users (e.g., scientists, laboratory technicians), using feedback to drive product improvements - Experience with hardware integration and device driver development, especially in robotics or automation contexts - Proficiency with version control systems, especially Git Required Skills: Python, C#/.NET, Debugging Important Skills: Hardware integration, Version control (Git) Nice-to-Have Skills: Analytical thinking Benefits: Competitive compensation including bonus potential, Generous early equity