About the Company
Algorized is a fast-growing deep tech startup building software platform for people positioning and sensing. We leverage algorithms and edge-ML with any market available communication sensors such as Ultra-Wideband Radar for accurate people tracking, positioning, vital sign detection (breathing, heart-rate), age classifications and more.
As we continue to rapidly expand, we are seeking a highly skilled Software Application Engineer with genuine passion for innovation and experience in supporting customers as they adopt our software solution. If you are resourceful and have a good grasp of C, edge-computing, embedded systems and are ready to join a dynamic fast-growing start-up this unique opportunity is for you!
Key Responsibilities
- Deliver product applications from proof of concept to product
- Contribute code and features, design solutions for customer requests and support edge ML algorithm design
- Develop and integrate software applications with UWB / Radar sensors ensuring accurate data capture
- Optimize software performance on customer systems for customer specific use cases and environments
- Define customer application specific KPIs and test for customer use cases to support adoption and decision making of stakeholders
- Work closely with product and biz dev teams to drive customer success by scoping feature requests and deliver solutions
- Create technical documentation and how-to guides to simplify technology adoption
- Drive projects with a strong sense of ownership
Minimum Requirements
- MSc/BSc or advanced degree in computer science, SW Engineering or similar field or parallel experience
- 3+ years hands on experience
- Excellent knowledge of C/C++
- Good command of at least one high level coding language (C#, python or similar)
- Experience with embedded solutions or strong motivation to learn
- Strong sense of ownership and excellent communication skills
- Obsessively passionate and inquisitive and seek to solve everyday problems in innovative ways
- Understanding of radar technology preferred
- Knowledge in Matlab and/or Rust preferred
