Software Engineer (Lab Automation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer (Lab Automation): Building and maintaining the orchestration layer that connects software to physical lab hardware with an accent on instrument drivers, error-recovery logic, and reliable protocol scheduling. Focus on debugging complex software-hardware boundaries and ensuring 24/7 system stability for AI-driven biological experimentation.
Location: Must be based in Lausanne, Switzerland (on-site)
Company
is a fast-growing biotech company building an automated lab infrastructure that enables AI agents to execute physical biology experiments.
What you will do
- Build orchestration software to coordinate liquid handlers, plate readers, and robot arms.
- Reverse-engineer and develop instrument drivers and APIs for various communication protocols.
- Model and execute complex multi-step protocols with robust error-recovery logic.
- Create monitoring and observability tools for work-cell health and run progress.
- Debug issues across the software-hardware boundary, including comms, firmware, and calibration.
- Collaborate with lab automation engineers and scientists to optimize production workflows.
Requirements
- Must be based in or able to work on-site in Lausanne, Switzerland.
- Strong software engineering skills with production experience in Python and/or TypeScript.
- Experience or strong interest in building software that drives physical devices.
- Ability to read protocol specs, debug flaky connections, and reason about timing.
- Maker and hacker attitude with a focus on reliability and independent problem-solving.
- Comfortable working with AI-native development tools and workflows.
Nice to have
- Familiarity with lab automation tools like PyHamilton, PyLabRobot, or Opentrons.
- Background in robotics, industrial automation, IoT, or embedded systems.
- Experience with electronics, microcontrollers, or 3D printing for physical integrations.
Culture & Benefits
- Opportunity to work at the intersection of AI and biotech on high-impact infrastructure.
- Hands-on role where code directly controls real-world laboratory machines.
- Fast-paced startup environment with rapid growth and significant ownership.
- Collaborative team working with leading biopharmas and frontier AI labs.
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