Instrumentation Software Engineer I – Lab Automation

Lila Sciences; Cambridge (MA); On-site; USD 108,000 - 140,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Life Insurance

Disability Insurance

Flexible PTO

Parental Leave

Educational Assistance

Commuter Benefits (bike share)

Lunch Program

Job summary

Lila Sciences is hiring a Software Engineer to develop next-generation Lab Instrument Integration Software, bridging software, hardware, and AI-enabled lab automation. The role emphasizes building robust drivers, APIs, and interfaces for seamless instrument control and data exchange.

You will collaborate with cross-functional teams to address integration challenges, debug complex systems, and contribute to AI-driven development to accelerate scientific discovery.

Qualifications

• Proficiency in Python and C#/.NET required.
• Experience debugging hardware-software integration issues preferred.
• Strong analytical and structured troubleshooting approach.
• Excellent written and verbal communication across multidisciplinary teams.

Responsibilities

• Develop robust lab instrument software to enable hardware and software communication.
• Integrate lab instruments into AI-enabled automation infrastructure.
• Conduct testing, debugging, and troubleshooting of device drivers and interfaces.
• Create and maintain clear technical documentation for APIs and integrations.
• Collaborate with hardware engineers, software developers, product managers, and end-users to resolve integration challenges.
• Engage in AI-driven development to improve software delivery speed and quality.

Skills

Python

C#/.NET

Hardware-software integration

Communication skills

Tools

Git

Job description

Lila Sciences is hiring a Software Engineer to develop next-generation Lab Instrument Integration Software, bridging software, hardware, and AI-enabled lab automation. The role emphasizes building robust drivers, APIs, and interfaces for seamless instrument control and data exchange.

You will collaborate with cross-functional teams to address integration challenges, debug complex systems, and contribute to AI-driven development to accelerate scientific discovery.