RESPONSIBILITIES:
- 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.
- Mentorship & Leadership: Guide and mentor junior engineers, offering technical insights and career development support. Potential to manage a small team (1-3 engineers) with diverse skills and experience levels.
- 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.
QUALIFICATIONS:
- Educational Background: BS or higher in Electrical Engineering, Computer Science, Mathematics, Statistics, or a related field.
- Experience: 7+ years of experience
- Problem-Solving Expertise: Strong ability to apply data analytics to solve complex engineering challenges and propose creative, data-driven solutions.
- Statistical Skills: Proficiency in applying advanced statistical techniques, particularly in time-series data analysis, using Python or similar tools (e.g., Minitab).
- Hands-On Engineering: Experience with hardware prototyping and debugging, utilizing lab equipment such as oscilloscopes, multimeters, and impedance analyzers.
- Circuit Design Expertise: Solid understanding of circuit design principles
- Software & Code Management: Experience maintaining and improving live code for hardware systems, including logging, monitoring, and debugging in development environments.
DESIRED QUALIFICATIONS:
- Biometric Sensor Expertise: Experience developing biometric sensors for wearable devices, with a focus on integrating data analytics into hardware design.
- Manufacturing Experience: Proven ability to take products from concept through to mass production
- Versatility & Learning Agility: Willingness to tackle new challenges and acquire new skills
- Scientific Approach: A data-driven, scientific mindset with a strong foundation in statistical methods and experiment design.
- Spice: Experience with design tools such as SPICE for simulating and validating circuits in hardware systems.
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