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Instrument Driver Developer

Lila Sciences

Salary not specified
Sep 26, 2025
Cambridge, MA, US
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Lila Sciences is seeking to solve humankind's greatest challenges, such as human health, climate, and sustainability, by building a scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.

Requirements

  • Proficiency in Python programming is essential.
  • Experience with hardware integration and device driver development, especially in robotics or automation contexts.
  • Solid understanding of operating systems such as Linux or Windows.
  • Demonstrated ability in debugging and problem-solving hardware-software integration issues.
  • Proficiency with version control systems, especially Git.
  • Familiarity with event-driven architectures, embedded systems, or real-time operating systems (RTOS).
  • Familiarity with DevOps practices (CI/CD, automated testing pipelines).

Responsibilities

  • Develop robust software drivers 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 drivers with existing automation frameworks and robotics control systems, ensuring compatibility and stability across multiple platforms.
  • 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.

Other

  • Excellent verbal and written communication skills to collaborate effectively with multidisciplinary teams.
  • Background or exposure in user-centered or human factors design principles.
  • Experience working directly with end-users (e.g., scientists, laboratory technicians), using feedback to drive product improvements.
  • Commitment to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
  • Strong analytical thinking and a structured approach to troubleshooting and resolving complex technical problems.