Software Engineer, Lab Automation & AI Experiments

Adaptyv; Vaud; On-site; CHF 120,000 - 180,000; Full time

Job summary

Adaptyv is hiring a hands-on software engineer to build work-cell orchestration for automated biology experiments in Lausanne, Switzerland. You will drive software that coordinates liquid handlers, plate readers, incubators, and robot arms, ensuring timing, state management, and robust error handling.

You will reverse-engineer instrument drivers and APIs, support multiple protocols, and model complex multi-step protocols that span several instruments.

Qualifications

• Production-grade Python and TypeScript development experience.
• Experience driving software that communicates with hardware devices.
• Lab automation experience with PyHamilton, PyLabRobot or Opentrons is a strong plus.
• Reliable, self-starting engineer who can work across hardware/software boundaries.

Responsibilities

• Build work-cell orchestration software coordinating liquid handlers, readers, incubators, and robot arms with proper timing and error handling.
• Reverse-engineer and build instrument drivers and APIs for diverse protocols (serial, USB, TCP/IP).
• Model and execute multi-step protocols across instruments with reliability.
• Implement error-recovery to retry, skip, alert, or pause based on failure mode.
• Create monitoring/observability for work-cell health and run progress.
• Debug across software–hardware boundary to identify whether issues are comms, firmware, calibration, or code problems.
• Collaborate with lab automation engineers, software team, and scientists running production.

Skills

Python

TypeScript

Software engineering

Lab automation

Troubleshooting hardware

Tools

PyHamilton

PyLabRobot

Opentrons

Job description

Adaptyv is hiring a hands-on software engineer to build work-cell orchestration for automated biology experiments in Lausanne, Switzerland. You will drive software that coordinates liquid handlers, plate readers, incubators, and robot arms, ensuring timing, state management, and robust error handling.

You will reverse-engineer instrument drivers and APIs, support multiple protocols, and model complex multi-step protocols that span several instruments.