What You’ll Do

• Design, implement, and maintain software components for device integration, equipment coordination, and automated laboratory workflow execution. 

• Build backend services, APIs, equipment adapters, data-ingestion components, and developer tools using established platform designs. 

• Develop device drivers, instrument adapters, and robot interfaces using vendor SDKs and documented communication protocols. 

• Implement state machines, asynchronous operations, device synchronisation, error handling, and recovery behaviour. 

• Connect equipment and local execution software with cloud orchestration and data services. 

• Work with scientists and engineers to clarify requirements, document interfaces, and translate laboratory workflows into well-defined features. 

• Support hands-on equipment integration, commissioning, calibration, and troubleshooting with hardware, controls, and laboratory specialists. 

• Contribute to AI-assisted capabilities, including tool integration, execution validation, and evaluation, within defined operational and safety boundaries. 

• Independently deliver assigned components, communicate progress and dependencies, and seek guidance on broader system decisions. 

What You’ll Bring

• 4+ years of professional software development experience, including production software for robotics, automation, instrumentation, or other hardware-connected systems. 

• Strong programming skills in Python or C++, PMC Programming or robotic programming environments with experience developing and debugging software that interacts with physical equipment. 

• Ability to independently deliver well-scoped components, with guidance on broader architecture, system design, and prioritization. 

• Practical understanding of equipment interfaces, controllers, sensors, actuators, and hardware-software interactions. 

• Experience with device communications, vendor SDKs, service APIs, or software integrations. 

• Familiarity with asynchronous programming, concurrency, state machines, message-based communication, retries, and recovery from failures. 

• Experience with automated testing, source control, code review, diagnostics, and iterative software delivery. 

• Ability to troubleshoot across software and hardware interfaces and collaborate with scientists, operators, and specialist engineers. 

• Curiosity and willingness to learn scientific workflows, robotics technologies, cloud services, and AI integration. 

• Bachelor’s degree in Computer Science, Electronic or Electrical Engineering, Robotics, Mechatronics, Control Engineering, or a related discipline, or equivalent practical experience.