**Job Summary** Develop and execute comprehensive manufacturing test plans for wrist wearable EMG hardware platforms Design implement and maintain automated test fixtures and equipment for manufacturing line operations Assemble solder and integrate complex hardware components and subassemblies for manufacturing test stations and prototypes Build and maintain test harnesses prototypes and manufacturing test equipment using industrystandard soldering practices Conduct comprehensive failure analysis on fiel **Responsibilities** Develop and execute comprehensive manufacturing test plans for wrist wearable EMG hardware platforms Design implement and maintain automated test fixtures and equipment for manufacturing line operations Assemble solder and integrate complex hardware components and subassemblies for manufacturing test stations and prototypes Build and maintain test harnesses prototypes and manufacturing test equipment using industrystandard soldering practices Conduct comprehensive failure analysis on field and factory returned units identifying root causes and implementing corrective actions Perform firstlevel failure analysis including data review preliminary root cause identification and documentation for escalation and lead structured root cause investigations using 8D and 5Why methodologies with vendor coordination Analyze and interpret test results identify recurring failure patterns and provide detailed reports and recommendations to drive corrective actions and process improvements Troubleshoot EMGspecific issues including signal quality contact integrity and performance validation under various conditions Assemble solder and integrate complex hardware components using IPC JSTD001H certified procedures Perform precision rework and repair operations on test hardware and EMG device components Implement Pythonbased test automation frameworks for manufacturing environments with emphasis on realtime control systems Perform statistical analysis of manufacturing test data using Python libraries SciPy NumPy Pandas for yield improvement and quality control Develop automated scripts for test execution data collection and statistical process validation Create data visualization and reporting tools for manufacturing performance metrics Implement testing methodologies specific to EMG wearable devices including signal quality assessment and contact integrity validation Develop automated scripts for test execution data collection and statistical process validation **Qualifications** Bachelors or Associate degree in Electrical Engineering Electronics Engineering Computer Science or related technical field 2plus years of experience in test engineering with focus on hardware testing failure analysis and troubleshooting Advanced Python programming skills with proven experience in statistical analysis libraries SciPy NumPy Pandas Proven expertise in systematic troubleshooting with demonstrated track record of identifying and resolving complex hardware issues Experience with automated test equipment including data acquisition systems instrumentation oscilloscopes logic analyzers power supplies signal generators and measurement devices Experience with embedded systems and microcontrollers including firmware and hardware interactions Handson soldering and hardware assembly experience for multicomponent systems and test equipment. Preferred IPC JSTD001H certification or equivalent demonstrated soldering expertise Statistical analysis capabilities for manufacturing data process control and yield analysis Proficiency with version control systems Git and integration with continuous integration frameworks Problemsolving mindset with attention to detail and commitment to quality excellence Knowledge of failure analysis tools and methodologies for systematic problemsolving Ability to work effectively in fastpaced development environment Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.