The ideal candidate is comfortable writing production-quality code, working with version-controlled repositories, participating in regression testing activities, and collaborating closely with hardware, firmware, and systems engineering teams.

Key Responsibilities

• Design, develop, and maintain software applications that interface with hardware systems, sensors, and external instruments
• Write, debug, and refactor code in C# and related languages to support test control, data acquisition, logging, and visualization
• Collaborate with hardware engineers on hardware/software co-design, including defining interfaces, timing, control logic, and system behavior
• Develop and maintain automated test frameworks and participate in regression testing to ensure software reliability across releases
• Use code repositories (e.g., Git-based systems) for source control, code reviews, branching, and release management
• Diagnose and resolve issues that span software, firmware, and hardware boundaries
• Contribute to system-level documentation, design reviews, and technical knowledge sharing
• Support system bring-up, integration, and troubleshooting in lab environments

Required Qualifications

• Strong familiarity with the C# programming language, including object-oriented design and debugging
• Demonstrated ability to code beyond scripting—writing maintainable, production-quality software
• Experience working with code repositories (e.g., Git), including commits, branches, merges, and code reviews
• Familiarity with regression testing concepts, automated test execution, and test result analysis
• Experience or strong interest in hardware/software co-design and systems that integrate real-world hardware

Preferred Qualifications

• Experience developing software for test systems, lab automation, or hardware control environments
• Familiarity with communication interfaces such as USB, Ethernet, serial, or instrument control APIs
• Exposure to data logging, visualization, and post-processing workflows
• Experience working in cross-disciplinary teams (hardware, firmware, software, systems engineering)
• Comfortable working in lab settings with physical hardware