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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.