Electrical Test Engineer

TechDigital Group; New York (NY); On-site; USD 80,000 - 100,000; Full time

Job summary

A technology firm based in New York seeks a Manufacturing Test Engineer to develop and implement test plans for wearable EMG devices. The job requires expertise in Python for automation, hardware assembly, and statistical analysis. You will design test fixtures, manage quality control processes, and collaborate with science teams on product performance evaluation. Ideal candidates will possess a degree in Engineering or Computer Science and have 3-5 years of relevant experience. This position is onsite with no remote work option.

Qualifications

• 3-5 years of experience in manufacturing test engineering focusing on hardware testing.
• Experience with automated test equipment including data acquisition systems.
• Hands-on soldering and hardware assembly experience for multi-component systems.

Responsibilities

• Develop and execute comprehensive manufacturing test plans for wrist wearable EMG hardware.
• Design and maintain automated test fixtures and equipment for manufacturing operations.
• Implement Python-based test automation frameworks for real-time control systems.

Skills

Advanced Python programming skills

JavaScript/Web development

Statistical analysis capabilities

Problem-solving mindset

Education

Bachelor's or Associate degree in Electrical Engineering, Electronics Engineering, Computer Science or related field

Tools

SciPy

NumPy

Pandas

Git

Job description

5 days a week at onsite. No remote work due to the nature of the job in the client R&D center.

Overview

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 industry-standard soldering practices
• Perform rework and repair operations on test hardware and EMG device components
• Implement Python-based test automation frameworks for manufacturing environments with emphasis on real-time 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
• Execute IPC J-STD-001H certified soldering and assembly procedures for wrist wearable hardware components and test fixtures
• Create data visualization and reporting tools for manufacturing performance metrics
• Build interactive data collection applications using JavaScript frameworks for EMG device characterization
• Develop custom user interface components and prompting systems for gesture evaluation and signal quality assessment
• Implement testing methodologies specific to EMG wearable devices including signal quality assessment and contact integrity validation
• Collaborate with science teams on study framework execution and EMG device performance evaluation

Qualifications

• Bachelor's or Associate degree in Electrical Engineering, Electronics Engineering, Computer Science or related technical field
• 3-5 years of experience in manufacturing test engineering with focus on hardware testing and assembly
• Advanced Python programming skills with proven experience in statistical analysis libraries (SciPy, NumPy, Pandas)
• JavaScript/Web development experience for interactive study protocol development and web application frameworks
• Experience with automated test equipment including data acquisition systems, instrumentation, and measurement devices
• Manufacturing test fixture design and implementation experience including hardware/software integration
• Hands-on soldering and hardware assembly experience for multi-component systems and test equipment. Preferred IPC J-STD-001H 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
• Problem-solving mindset with attention to detail and commitment to quality excellence