StepUp Solutions is building wearables based on breathing, a vital parameter that has been much forgotten but contains so much information.

For sportspeople, we can significantly improve training efficiency while minimizing the risk of injury.

For healthcare, we help patients with COPD manage their disease better and prevent hospitalizations.

For horse owners, we enable riders to understand their horses better to prevent injuries and deaths.

We're a team of 10 international people covering a wide range of competencies.

Experienced or passionate about sports, healthcare, veterinary care, and technology?

We are looking for a full-time engineer to join our team. You will have many responsibilities and work directly on building algorithms to detect the early signs of fatigue among horses, enable them to train better, and prevent injuries. In a nutshell, you will be participating in developing our algorithms that convert raw data into useful insights.

Tasks:

• Transforming the signals coming from our innovative sensor for breathing and other sensors (IMU, ECG, GNSS, …) into actionable data for the riders through conventional signal processing and machine-learning approaches

• Optimizing the algorithms and models for working on the Edge

• Ensuring sufficient data collection

• Possibility of writing a scientific output

Required skills:

• Advanced Signal processing

• Basic Machine learning

• Python

• Understanding of biosignals

It's a plus if you have experience within:

• Sports, Physiology, or Equine background

• Biomedical engineering

• Tensorflow framework

• Embedded C

You are a:

• Quick learner

• Independent workers not afraid of taking initiatives

• Curious & Passionate

• Creative

• Great communicator

• English speaker

• Team player

• If you believe this is a challenge for you, send us your application and any relevant document (Github, Kaggle, …) through TheHub.  We have a strong commitment to personal development in the company through our skill development program, we guarantee you that you will learn a lot during your stay with us.