Leads R&D for biometric wearable devices, driving data analytics, circuit design, prototyping, and system validation. Requires 7+ years experience in electrical engineering with strong Python-based statistical skills and hands-on hardware debugging.
Salary not listed
On-site7+ YOEHardware Engineering
About the role
Responsibilities
Spearhead early-stage design and development of biometric wearable devices, using data analytics to guide decision-making and determine success criteria.
Design and execute system-level validation protocols, utilizing engineering fundamentals combined with statistical methods to ensure optimal performance in real-world scenarios.
Use Python and other statistical tools to process large data sets, conduct feasibility testing, and inform engineering design decisions.
Apply understanding of circuit design principles and tools like SPICE for designing and validating hardware circuits in wearable technology systems.
Test and validate hardware prototypes for in-depth functional testing, utilizing lab equipment for debugging and analysis.
Define system requirements and develop test strategies, analyzing test data to ensure validation; lead failure investigations using data to identify root causes and improve designs.
Partner with teams across hardware, software, data science, and product to shape development strategies, ensuring data insights drive both technical and strategic decisions.
Collaborate with external partners, suppliers, and contract manufacturers to ensure successful development and scale-up of products (up to 10% travel).
Qualifications
BS or higher in Electrical Engineering, Computer Science, Mathematics, Statistics, or related field.
7+ years of experience.
Strong ability to apply data analytics to solve complex engineering challenges and propose creative, data-driven solutions.
Proficiency in advanced statistical techniques, particularly time-series data analysis, using Python or similar tools (e.g., Minitab).
Experience with hardware prototyping and debugging, utilizing lab equipment such as oscilloscopes, multimeters, and impedance analyzers.
Solid understanding of circuit design principles.
Experience maintaining and improving live code for hardware systems, including logging, monitoring, and debugging in development environments.
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