Are you motivated to have an actual positive social impact with your expertise, changing the lives for the better of potentially millions of people? Do you want to combine this with working on state-of-the-art microphone technology that is out there today? Then you are at the right place.
We’re looking for an Embedded Software Engineer with at least three years of experience in the field.
-You will be working on creating a state-of-the-art microphone solution. Your daily work consists of writing the firmware for different proof of concepts, writing the firmware for our final products and making sure that new updates are rolled out successfully.
-You will be involved in audio processing algorithm implementation. You will use your ingenuity to tune these algorithms to get the best performance out of the microphones.
-You will be a creator that comes up with new ideas to improve the customer experience with our technology. Being one of the first to join the organization, your expertise will have a significant impact on the end product and the development process.
-Optional: you will be involved with the embedded hardware design
-Fluent in C/C++
-Solid English communication skills
-Available for 40 hours a week
-Big Bonus: Experience with DSP, preferably audio signal processing
-Big Bonus: experience with wireless protocols
-Bonus: embedded hardware experience
What’s in it for you
-Work with a result-driven highly motivated team that finds meaning in improving the living conditions of others
-Create a product that will expectedly be used by tens of thousands of people
-An equity stake in the company
-Improve your knowledge and skill by working with our CTO, top engineers and expert advisors in the field
-Investment from the company in relevant training and courses can be discussed
-One day working from home can be discussed
-Be part of Rotterdam’s upcoming start-up community
We would love to hear from you. Leave a message and we will be in touch.
466 million people around the world have a disabling hearing loss. Particularly group conversations are difficult for them to follow.
We're developing a breakthrough microphone system that transcribes conversations to text using speech recognition on the smartphone. This way, the Deaf or hard-of-hearing person can read what's being said and follow the conversation again.