Staff Electrical Engineer (R&D)

Advanced Development Projects: Spearhead early-stage design and development of biometric wearable devices, using data analytics to guide decision-making and determine success criteria.

Data-Driven System Validation: Design and execute system-level validation protocols, utilizing engineering fundamentals combined with statistical methods to ensure optimal performance in real-world scenarios.

Advanced Data Processing & Statistical Techniques: Use Python and other statistical tools to process large data sets, conduct feasibility testing, and inform engineering design decisions.

Circuit Design & Simulation: Apply an understanding of circuit design principles and tools like SPICE for designing and validating hardware circuits in wearable technology systems.

Prototyping & Functional Verification: Test and validate hardware prototypes for in-depth functional testing, utilizing a variety of lab equipment for debugging and analysis.

Test Design & Failure Investigation: 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.

Cross-Functional Collaboration: Partner with teams across hardware, software, data science, and product to shape development strategies, ensuring data insights drive both technical and strategic decisions.

Stakeholder Engagement: Collaborate with external partners, suppliers, and contract manufacturers to ensure successful development and scale-up of products. Up to 10% travel, both domestically and internationally.