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Description
This is an opportunity to develop software tools that control and automate hardware testing. You'll work on designing & building maintainable software that directly interfaces with test hardware and equipment. This isn't high-level application software—it's hands-on software engineering focused on creating tools that manage the actual execution of hardware tests. If you enjoy hands-on software development with clear real-world impact, and you're interested in the intersection of software and hardware testing, this role offers meaningful work with tangible results.
Minimum Qualifications
BS EE or CS 7+ years experience Understanding of software design principles including design patterns, separation of concerns, and writing maintainable code Proficiency in C++ for systems-level development and integration Proficiency in one higher-level programming language such as Python or similar for application-level development Proficiency in one scripting language (Lua preferred) Experience in designing databases Solid grasp of object-oriented design principles including encapsulation, polymorphism, inheritance hierarchies Ability to read and interpret schematics to understand circuit behavior and identify relevant test points Understanding of server-client architecture and socket programming for building networked test systems
Preferred Qualifications
Basic understanding of electrical engineering concepts including voltage, current, digital logic fundamentals, and signal integrity—enough to understand hardware constraints and test requirements Ability to read and interpret schematics to understand circuit behavior and identify relevant test points Practical familiarity with Objective-C code, able to read and work with existing Objective-C implementations Familiarity with Linux user space applications, including system calls, process management, inter-process communication, and performance profiling Strong problem-solving skills with an ability to decompose complex systems into manageable components Quickly adapting to different code bases and technologies to identify and implement effective software solutions across our testing infrastructure Experience with test automation or testing frameworks Knowledge of hardware-software co-design considerations Interest in exploring AI applications in testing and automation
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