Senior Java Engineer

Architect and develop mission-critical Java software for next-generation automated instruments, enabling precise control of microcontrollers, valves, sensors, and pressure regulators. Own the full-stack software infrastructure, from low-level hardware communication (USB/SPI/serial) and embedded firmware integration to GUI design, data pipelines, and database management, ensuring reliability for end-user scientists.

1. →Java-Centric Development:
2. →Lead high-level Java development for instrument control, including multi-threaded applications, GUI frameworks (JavaFX/Swing), and hardware abstraction layers.
   • →Modernize legacy Java codebases while maintaining backward compatibility with embedded systems (custom controller PCB based on industry standard microcontroller).
3. →Hardware Integration:
   • →Interface with microcontrollers, sensors, and actuators via protocols (SPI/I2C/serial) and real-time messaging systems.
   • →Debug and optimize low-level communication between software and hardware components.
4. →Database & Systems Management:
   • →Design and maintain relational databases for instrument metadata, experiment logs, and process analytics.
   • →Implement data analysis pipelines (Python/Java) for real-time monitoring, post-processing analysis and process optimization.
5. →Technical Leadership:
   • →Act as SME for software architecture: document APIs, enforce good design practices, and mentor junior engineers if needed.
   • →Drive CI/CD pipelines, version control (Mercurial/Git), and automated testing frameworks.

Requires Bachelor’s degree in Computer Science, Computer Science & Engineering, Software Engineering, Electrical Engineering or a related Engineering field.

Experience: 6–8 years in Java development for instrumentation/robotics/embedded systems (or equivalent).

Java Expertise: Core Java, multi-threading, JavaFX/Swing, Maven, NetBeans.

Hardware Protocols: USB, Serial, SPI, I2C (hands-on debugging).

Bonus: Python scripting, Qt/GUI frameworks, embedded firmware (C/C++).

“Product mindset”: Balance technical rigor with end-user needs (scientists’ workflows).

Communicate complex ideas clearly to both engineers and non-technical stakeholders.

Autonomy: Self-driven in ambiguous, R&D-paced environments.