Autonomous Lab Software Engineer – AI-Driven Automation

University of Illinois Urbana-Champaign

Urbana (IL)

On-site

USD 75,000 - 100,000

Full time

14 days+
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Job summary

The Research Software Engineer at University of Illinois Urbana-Champaign will lead the development of software infrastructure to enable automated and autonomous laboratory operations in the NSF iBioFoundry. You will architect reliable systems that integrate AI, robotics, lab automation, and distributed computing to support planning and execution of biological research experiments.

Responsibilities include building multi-agent AI workflows, coordinating with researchers and engineers, and

Qualifications

  • 2+ years of professional full-stack software development experience.
  • Experience operating Cloud infrastructure and containers (Docker, Kubernetes).
  • Submit cover letter, updated resume/CV, portfolio, and three references.

Responsibilities

  • Lead software development toward autonomous laboratory operation and automated workflows.
  • Design and maintain software infrastructure integrating AI, robotics, and lab automation.
  • Develop an open-source scheduler for experiment planning and instrument coordination.
  • Establish engineering best practices for testing, monitoring, deployment, and documentation.
  • Build data pipelines and APIs connecting AI agents, instruments, and databases.
  • Mentor graduate students and postdocs on code and project delivery.

Skills

Software architecture
AI systems
IT operations
Full-stack development
Cloud infrastructure
Container orchestration

Education

Bachelor's degree in Computer Science

Tools

Docker
Kubernetes

Job description

The Research Software Engineer at University of Illinois Urbana-Champaign will lead the development of software infrastructure to enable automated and autonomous laboratory operations in the NSF iBioFoundry. You will architect reliable systems that integrate AI, robotics, lab automation, and distributed computing to support planning and execution of biological research experiments.

Responsibilities include building multi-agent AI workflows, coordinating with researchers and engineers, and

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