Vectorious has developed the world’s first in-heart microcomputer and is on a mission to transform heart failure treatment. As part of our first in-human clinical study, we have successfully implanted our sensory device in patients across Europe and Israel, while demonstrating a huge potential in helping millions of people living with heart failure to take control and manage their disease. As an increasingly growing company we've been accepted to FDA’s prestige Breakthrough Device Designation program.
We are looking for a Research Engineer - Device Physics to join our team and to support our meaningful growth.
What Will You Do?
Testing and characterization: Planning experiments, writing test codes, using standard testing equipment and dedicated test equipment, performing experiments, analyzing data and drawing conclusions and recommendations
Data Analysis: Collect, process and analysis of raw data from our MEMS devices, implants and other inputs, including data from various points in the production process and field deployments
Modeling: Build empirical and theoretical models based on experimental data and physical models, device physics research, interface with Algo team for drift mitigation based on those models. Develop deep understanding of Vectorious’ Left Atrium Pressure measurement system, based on those models and recommend system improvements
Heat transfer Perform thermal FEA and analytical models to the system (implant and external electronic unit) and conduct experiments to verify those analytical and numerical models
Failure Analysis, reliability and burn in: Investigate and diagnose any anomalies or failures in the ASICs, MEMS devices and systems (implant and external electronic unit) by running tests, analyzing data, identifying root causes, and proposing corrective actions. Runing reliability and burn-in tests on the device in its different life cycle points (Device, ASIC, Open implant, final implant, and integrated system which includes implant and external electronic unit)
Performance Optimization: Collaborate with cross-functional teams to optimize performance based on data-driven insights, contributing to product enhancements and reliability improvements
Reporting: Create comprehensive reports and visualizations to communicate findings, insights, and recommendations to stakeholders, including engineering teams and management