onsite
Lab Automation Engineer - adaptyv
QA Engineer
Design and implement robotic lab automation systems that enable AI agents to execute biology experiments, integrating software, hardware, and cloud infrastructure to accelerate scientific discovery.
About the role
Key Responsibilities
- Design, build, and maintain robotic workcells and liquid‑handling platforms for high‑throughput biology experiments.
- Develop robust software pipelines (Python, REST APIs) that translate AI‑generated protocols into executable lab actions.
- Integrate cloud services (AWS) for data storage, orchestration, and real‑time monitoring of lab equipment.
- Implement CI/CD workflows to ensure reliable deployment of firmware and control software across multiple lab stations.
- Collaborate with AI research teams to close the loop between hypothesis generation, experimental execution, and data feedback.
Requirements
- 3+ years of experience in robotics or lab automation engineering, with hands‑on hardware integration.
- Proficiency in Python and API development for instrument control.
- Experience deploying and managing cloud infrastructure (AWS) for scientific workloads.
- Familiarity with CI/CD tools (GitHub Actions, Jenkins) and version‑controlled hardware/software releases.
- Strong problem‑solving skills and ability to work cross‑functionally with AI, biology, and operations teams.