Intern - Software Developer

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Key Responsibilities

Python Development

• Develop and maintain software components using Python under the guidance of senior engineers.
• Write clean, structured, and maintainable Python code.
• Work with existing Python codebases and implement small enhancements and fixes.
• Develop scripts and utilities to support engineering and testing activities.
• Learn and apply object-oriented programming and basic software design principles.

Software & System Integration

• Support integration of software with hardware, firmware, and instrument components.
• Develop and test basic device-control and instrument workflow functionality.
• Support troubleshooting of communication between software components and instruments.
• Assist engineers in implementing and testing software features.

API & Communication

• Work with basic REST APIs and service interfaces.
• Gain practical experience with:
  • HTTP
  • JSON
  • REST
  • WebSocket
  • TCP/IP
• Support development and testing of software-to-software and software-to-device communication.

Linux & Embedded Systems

• Work in Linux and embedded Linux environments.
• Gain hands-on experience with SSH, processes, services, logs, networking, and system configuration.
• Support software deployment and configuration on embedded platforms such as Raspberry Pi.
• Assist in troubleshooting Linux and system-level issues.

Testing & Automation

• Develop and execute unit, integration, and functional tests.
• Support automated testing and regression testing activities.
• Create Python-based test scripts and utilities.
• Analyse test results and document failures.
• Work with SQA engineers to reproduce, investigate, and track software defects.

Debugging & Troubleshooting

• Analyse application logs, exceptions, and test failures.
• Assist in identifying root causes of software issues.
• Reproduce software and system-level defects.
• Support engineers in troubleshooting hardware/software interface issues.

Data Processing

• Work with basic Python libraries such as:
  • NumPy
  • Pandas
  • Matplotlib
• Support data processing, analysis, visualization, and engineering test activities.

Git & Software Development Practices

• Learn and use Git-based development workflows.
• Work with branches, commits, pull requests, and code reviews.
• Follow software development standards and documentation practices.
• Gain exposure to CI/CD, automated builds, dependency management, and software release processes.

Documentation & Collaboration

• Document software changes, test results, issues, and troubleshooting steps.
• Participate in code reviews and technical discussions.
• Work closely with Software, Firmware, Systems, and SQA teams.
• Learn engineering processes used for development and verification of scientific instruments.

Must-Have Skills

• Bachelor’s degree or pursuing a degree in Computer Science, Information Technology, Electronics, Electrical Engineering, or related discipline.
• Good programming knowledge in Python.
• Basic understanding of object-oriented programming.
• Basic understanding of software development and debugging.
• Good problem-solving and analytical skills.
• Basic knowledge of Linux.
• Basic understanding of Git.
• Basic understanding of HTTP, JSON, and APIs.
• Willingness to work on both software and hardware/software integration.
• Good communication and documentation skills.
• Strong willingness to learn and work on real engineering problems.

Preferred / Good-to-Have Skills

• Academic or personal project experience using Python.
• Exposure to Django or other Python frameworks.
• Basic knowledge of REST APIs, WebSocket, or TCP/IP.
• Experience with NumPy, Pandas, or Matplotlib.
• Exposure to Linux/Raspberry Pi or embedded systems.
• Experience with Python-based test automation.
• Exposure to unit testing or pytest.
• Basic understanding of databases or SQL.
• Exposure to CI/CD tools.
• Familiarity with Agile/Scrum development practices.
• Academic project involving instrumentation, electronics, sensors, laboratory equipment, or device integration.

Key Learning Opportunities

During the internship, the candidate will gain practical exposure to:

• Python software development
• Backend and service development
• Test automation
• Software verification and validation
• Linux and embedded systems
• API and device communication
• Hardware/software integration
• Data processing and analysis
• Git and modern software development practices
• Debugging and root-cause analysis
• Software development for scientific and laboratory instruments

Key Competencies

• Strong learning ability and technical curiosity.
• Logical and structured problem-solving.
• Attention to detail.
• Ability to work collaboratively with experienced engineers.
• Willingness to take ownership of assigned tasks.
• Ability to learn unfamiliar technologies and existing codebases.
• Good communication and documentation skills.