Software Engineer I, Instrument Software

Lila Sciences
Cambridge
Workplace: OnsiteFull timeUSD 108,000 - 140,000 annuallyFunction: Software EngineeringSkills: ["Communication","Problem-solving","Analytical thinking"]

Software Engineer I at a life sciences company will develop and integrate lab instrument software that communicates with robotics and automation hardware, while aligning with AI-enabled lab infrastructure. The role involves building drivers, testing, documentation, and cross-functional collaboration to ensure reliable hardware-software integration and rapid delivery of instrument software.

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Lila Sciences
Lila Sciences
5 months ago

Software Engineer I, Instrument Software

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Software Engineer I at a life sciences company will develop and integrate lab instrument software that communicates with robotics and automation hardware, while aligning with AI-enabled lab infrastructure. The role involves building drivers, testing, documentation, and cross-functional collaboration to ensure reliable hardware-software integration and rapid delivery of instrument software.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Develop robust software to enable communication between robotics and automation hardware and the control software
  • •Integrate lab instruments into the AI-enabled lab automation infrastructure and manage interfaces between cloud and edge infrastructure
  • •Perform rigorous testing, debugging, and troubleshooting of drivers to identify and resolve performance issues
  • •Create and maintain documentation for driver interfaces, APIs, and integration methods
  • •Collaborate with hardware engineers, software developers, product managers, and end-users to resolve integration challenges and support development

Pay and Benefits

Salary: USD 108,000 - 140,000 annually
Equity and Bonus:Equity
Perks:EquityAnnual Bonus

Key Requirements

  • •Proficiency in Python, C#/.NET, or other programming languages/frameworks is essential
  • •Demonstrated debugging and problem-solving abilities, preferably hardware-software integration issues
  • •Strong analytical thinking and structured troubleshooting approach
  • •Strong verbal and written communication skills to collaborate with multidisciplinary teams
  • •Experience with version control systems, especially Git
Experience:Life sciencesLab automationBiotechAI-enabled laboratory
Skills:CommunicationProblem-solvingAnalytical thinking
Languages:English
Tech Stack:PythonC#NET.NETGitRoboticsLab automation

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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