Oura Senior Hardware Architect responsible for developing and validating physiological sensing systems for wearable health products, ensuring sensor performance from prototype to mass production.
Responsibilities
Develop and validate physiological sensing systems for acquiring and analyzing physiological signals in wearable health and wellness products
Define hardware and software technical specifications and implement test and calibration protocols both internally and at manufacturer sites
Ensure that the physiological sensors integrated in our products meet their specifications from prototype to mass production
Build and validate hardware architectures optimized for low-noise, high-resolution time-series signal collection
Plan and execute benchtop and on-body testing to evaluate system performance across various user populations
Support validation and compliance efforts in collaboration with regulatory, research, and clinical teams
Work cross-functionally to ensure end-to-end system performance and signal integrity
Conduct rigorous testing and troubleshooting to ensure sensor performance across varying environmental and use-case conditions
Collaborate closely with mechanical and electrical engineers to integrate sensors within constrained form factors and flexible layouts
Partner with firmware and software teams to enable and refine features built on physiological data
Work directly with sensor vendors to evaluate new components, optimize performance, and address integration challenges
Travel occasionally to Finland and to global manufacturing or development sites as required (15%–20%)
Qualification
Required
5+ years of experience shipping Health Sensor
Strong electrical engineering background with experience in low-noise analog or mixed-signal systems or optical systems
Strong understanding of time-series physiological signal acquisition and noise minimization
Familiarity with algorithmic methods for time-series signal modeling
Simulation and modeling experience using Spice, ANSYS, or COMSOL
Skilled in embedded software and data acquisition tools such as C/C++, Python
Experience with data analysis and signal processing tools such as Python, MATLAB
