Sr. Software Engineer

GenScript/ProBio•Redmond, WA

20d

About The Position

Architect and develop mission-critical software for a next-generation automated oligo synthesizer, enabling precise control of mechanical, fluidic, and electrical systems. You’ll own the full-stack software infrastructure, from low-level hardware communication (USB/SPI/serial) and embedded firmware integration to GUI design, data analysis tools, and database management — ensuring seamless operation for end-user scientists.

Requirements

Requires Bachelor’s degree in Computer Science, Computer Science & Engineering, Software Engineering, Electrical Engineering or a related field.
Technical Non-Negotiables: 6–8 years in full-stack software development for instrumentation/robotics/embedded systems.
Expertise in:
Java: core codebase, multi-threaded code and GUI desktop applications (JavaFX or Swing).
Java, Maven, NetBeans IDE and Mercurial.
Python: scripting, data analysis tools.
Low-level comms protocols: USB, Serial, SPI, I2C.
Microcontrollers/embedded firmware (hands-on debugging).
GUI development (e.g., Java FX, Swing, Qt, or other modern frameworks).
Proven leadership in architecting complex systems (design patterns, version control, continuous improvement (CI) / continuous development (CD)).
“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.

Responsibilities

Own the Software Development Life Cycle (SDLC) for instrument control software: design, implement, debug, test, and deploy across Java/Python/C++ codebases.
Modernize and refactor legacy systems while ensuring backward compatibility with low level software + embedded firmware (custom PCB controller) and hardware messaging protocols.
Collaborate cross-functionally with engineers, scientists, and IT to translate user feedback into scalable software improvements (UI/UX, performance, reliability).
Develop data analysis pipelines (Python scripts, databases) and real-time monitoring tools for high-speed acquisition and process optimization.
Act as SME for software architecture: document APIs, mentor junior engineers, and align technical decisions with long-term product roadmaps.