Signal Processing Engineer

On behalf of our client Hilo by Aktiia, and as part of an exclusive mandate, we are seeking a versatile and motivated individual to join their pioneering team as a

SIGNAL PROCESSING ENGINEER 100%

Company Overview

Hilo by Aktiia believes, the key to improving cardiovascular health is to provide patients and physicians with a deeper understanding of the blood pressure pattern. Before Hilo, it was not possible to monitor cardiovascular health at scale.

They are an early-stage, venture-backed start-up that has raised over $96M from top-tier investors in Europe and the United States. They have developed and brought to market the world's first continuous blood pressure monitor. Their technology is based on 18 years of research by their founders at the prestigious Swiss Center for Electronics and Microtechnology (CSEM). Hilo by Aktiia's solution has been validated through extensive clinical trials and received a CE Mark as a Class IIa medical device under MDR leading to commercial access of approximately 43 countries worldwide.

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)

Are you passionate in solving problems with visionaries and innovative approaches?

Then Flurin Schwager looks forward to receiving your application documents or your call.