Software Engineer I, Instrument Software
Lila Sciences2 days ago
Base Salary
$108k - $140k/yr
Responsibilities
- Develop software for communication between laboratory robotics, automation hardware, sensors, and control systems.
- Integrate laboratory instruments into cloud and edge laboratory automation infrastructure and manage device execution.
- Test, debug, and troubleshoot drivers for performance, compatibility, and functional issues.
- Create and maintain documentation for driver interfaces, APIs, and integration methods.
- Collaborate with hardware engineers, software developers, product managers, scientists, laboratory technicians, and other end users.
- Use state-of-the-art coding models and development infrastructure to improve software delivery speed and quality.
Requirements
- Proficiency in Python, C#/.NET, or other programming languages or frameworks.
- Demonstrated debugging and problem-solving ability, preferably involving hardware-software integration.
- Strong analytical thinking and a structured approach to troubleshooting complex technical problems.
- Strong verbal and written communication skills.
- Interest or background in science is a bonus.
- Experience with laboratory automation, robotics in life sciences or related industries, end-user collaboration, hardware integration, device driver development, or Git is preferred.
Benefits
- U.S. full-time employees receive medical, dental, and vision coverage.
- Employer-paid life and disability insurance are provided.
- Benefits include flexible time off, company-wide holidays, paid parental leave, educational assistance, commuter benefits including bike share memberships for office-based employees, and a subsidized lunch program.
- International full-time employees receive a regionally tailored comprehensive benefits program.
- The role offers bonus potential and early-stage equity in addition to base compensation.
About Lila Sciences
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are building the foundation to apply AI to every aspect of the scientific method, enabling scientists to bring forth solutions in human health and sustainability at a pace and scale never experienced before.