Adaptyv
Biotech
SoftwareEngineer,LabAutomation
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer, Lab Automation at Adaptyv. Skills: Lab automation, Orchestration software, Instrument drivers. Build work-cell orchestration. Develop instrument drivers”
Industry & Context.
Troubleshoot production results; Reason about timing; Debug flaky connections; Debug comms problems; Debug firmware problems; Debug calibration problems; Debug code problems
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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