Signal Processing Engineer

Responsibilities

• Design, develop, optimize, and document advanced signal processing techniques for integration into the Hilo by Aktiia algorithms for blood pressure estimation using optical signals
• Develop and optimize embedded algorithms for optical signal quality estimation and activity tracking
• Conduct rigorous verification and validation (V&V) activities for algorithms, ensuring compliance with medical device regulations and product standards
• Collaborate closely with cross-functional teams (e.g., software engineers, data scientists, clinical researchers) to address and solve complex technical challenges

Your profile

• Ph.D. in Computer Science, Electrical Engineering, Signal Processing, or a related field
• 2+ years of medtech industry experience:
• if possible in theoretical signal processing
• or medtech applications including PPG+ECG
• Proven experience in medical signal processing, with expertise in extracting and analyzing both time and frequency domain features from the signals
• Proficiency in Python, MATLAB and C++ for algorithm development, data analysis, and signal processing tasks
• Strong ability to handle complex and noisy biomedical signals, including developing techniques to extract valuable information from them for further analysis or model integration
• Experience in implementing and validating algorithms in compliance with medical device standards and regulatory requirements is a plus
• Experience in the cardiovascular field is an advantage
• Strong problem-solving abilities, with a demonstrated capacity to collaborate effectively across interdisciplinary teams to address and solve complex technical challenges
• A creative and innovative mindset, with a drive to propose and develop novel approaches to signal processing challenges
• Highly organized and meticulous in code development and documentation, ensuring thorough traceability and clarity in compliance with medical device industry standards

Benefits

• Pension
• Competitive compensation package based on experience
• Flexible work location (hybrid work schedule)