[AUDITORY] AAVAA is hiring Embedded Hardware/SoftwareEngineers and Machine Learning Engineers

Dear Auditory List,

From AAVAA, we would like to express our concern for all those who have experienced any effects from COVID-19 and wish you good health.

In line with social distancing, we have remote positions for Embedded Hardware/Software Engineers and Machine Learning Engineers available at AAVAA, which may evolve to be in-office positions as the situation changes.

Positions are available at different levels, including:

Full-time employees
Part-time employees
Interns
Paid visiting graduate and postdoc trainees

AAVAA is dedicated to increasing diversity in technology; therefore, candidates of all backgrounds are encouraged to apply.

With AAVAA, you will be involved in building a unique listening device that allows everyone to hear what matters by processing their surrounding sounds based on input from their brain and biosignals. Our goal is to give people control of their auditory environment, enhance the sounds they want to hear, and suppress distracting noise.

With AAVAA you get:

The chance to solve one of the biggest challenges of human health
Generous vacation, salary, and benefits program
Work in the leading deep tech start-up incubator, TandemLaunch, surrounded by start-ups with specialists who are building the future with you
A safe and healthy work environment

Embedded Hardware/Software Engineer:

Required to have experience with:

· ARM-based 32-bit microcontrollers

· Schematics and PCB layout routing

· Standard electrical design tools (e.g., Altium)

· Mixed-signal circuits with digital and analog circuit design

· Low noise amplifier circuits and filter design

· Low power communication protocols (e.g., Bluetooth 5 and its stack structure)

· Low-level firmware development (e.g., ADC, Timers, SPI, I2C, UART)

· Software development environments (e.g., Keil)

· Real-time operating systems and state machines

· Software debugging and root-cause analysis practices

Nice to have experience with:

· FPGA and neural network accelerators

· Design for mass production and Design for Cost rules

· Interfacing gyroscopes, accelerometers

· Signal processing and machine learning

· CAD tools

· HAL and bare metal coding

· Python and C++ programing

· Github

Machine Learning Engineer:

Required to have experience with:

· Deep learning algorithms such as CNN, DNN, RNN, GAN, LSTM

· Classical machine learning approaches (e.g., SVM, KNN, Naive Bayes)

· High-level programming skills in Python, Matlab, C, C++, Java, etc.

· Knowledge in deep learning frameworks (e.g., PyTorch, TensorFlow, Keras, Scikit)

· Github

Nice to have experience with:

· Techniques in signal processing, feature extraction, time series analysis, etc.

· Digital signal processing with experience in biosignal and sound analysis

· Software development and architecture design

If you are meticulous, a problem solver, and a team player, you will feel right at home.

Please send your cover letter, a CV or resume, and contact information for 2 references to info@xxxxxxxxxxxx.

For more information, please email info@xxxxxxxxxxxx, or visit www.aavaainc.com.

Best wishes,

Naeem Komeilipoor

Co-founder and technical lead