Adaptyv

Biotech

SoftwareEngineer,LabAutomation

$105–135k ~AI est. Lausanne, Switzerland FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Software Engineer, Lab Automation at Adaptyv. Skills: Lab automation, Orchestration software, Instrument drivers. Build work-cell orchestration. Develop instrument drivers”

Industry & Context.

Biotech
Problems you'll solve

Troubleshoot production results; Reason about timing; Debug flaky connections; Debug comms problems; Debug firmware problems; Debug calibration problems; Debug code problems

Eligibility Requirements

Hands-on access to physical instruments

What They're Looking For.

Must Have

Production code in Python, Production code in TypeScript

Nice to Have

Lab automation experience, Familiarity with PyHamilton, Familiarity with PyLabRobot, Familiarity with Opentrons, Background in robotics, Background in industrial automation, Background in IoT, Background in embedded systems, Comfortable with electronics, Comfortable with microcontrollers, Comfortable with 3D printer

What You'll Do.

Build work-cell orchestration

Develop instrument drivers

Model complex protocols

Execute complex protocols

Build error-recovery logic

Debug software-hardware boundary

Coordinate liquid handlers

Coordinate plate readers

Coordinate incubators

Coordinate robot arms

Handle timing dependencies

Handle error recovery

Reverse-engineer instruments

Build clean abstractions

Handle mid-run failures

Monitor work-cell health

Monitor instrument status

Figure out comms problems

Figure out firmware problems

Figure out calibration problems

Figure out code problems

Work with lab automation engineers

Work with software team

How You'll Work.

Team & Collaboration

Lab automation engineers; Software team; Scientists

Full Job Description

Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build work-cell orchestration, instrument drivers, protocol scheduling, error-recovery logic, and monitoring. Physical systems fail in ways pure software doesn't — a plate gets stuck, a liquid handler skips a well, a temperature controller drifts. Your job is to make the system handle all of it gracefully. This is a broad, hands-on role for a strong engineer who wants their code to drive real machines and see it run the same day. WHAT YOU'LL DO - Build orchestration software that coordinates liquid handlers, plate readers, incubators, and robot arms — handling timing dependencies, state, and error recovery. - Reverse-engineer and develop instrument drivers and APIs. Each instrument speaks a different protocol (serial, USB, TCP/IP); you work out how it talks and bui

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