Software Engineer I, Instrument Software

Lila Sciences•Cambridge, MA

1d•$108,000 - $140,000

About The Position

Lila Sciences is hiring a Software Engineer to develop the next generation of Lab Instrument Integration Software, which is a foundational component of our AI-enabled laboratory. We are looking for self-motivated problem solvers who enjoy sitting at the often tricky interfaces between software, science, and hardware to deliver powerful solutions that will accelerate science.

Requirements

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.

Nice To Haves

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.

Responsibilities

Lab Instrument Software Development: 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.
System 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.
Testing and Debugging: Perform rigorous testing, debugging, and troubleshooting of drivers to identify, isolate, and rectify performance issues, bugs, and compatibility challenges.
Technical Documentation: Create, update, and maintain clear, comprehensive documentation for driver interfaces, APIs, and integration methods, facilitating ease of use by internal teams and end-users.
Collaboration and Support: Work closely with cross-functional teams, including hardware engineers, software developers, product managers, and end-users, providing technical support and resolving integration challenges promptly.
AI driven development: work with state of the art coding models and development infrastructure to improve the speed and quality of software delivery.