DSP AI/ML Engineer/ Scientist.
Join our deep tech revolution in the THz domain!
We are pioneering revolutionary applications in the THz domain, boldly venturing where the signal is often lost in the noise. Our work is transforming industries, and we invite you to walk this path with us as we break new ground in signal processing, AI.
What Youll Do:
* Lead research and development of advanced signal processing algorithms in environments with extremely low signal-to-noise ratios (Quadrature Modulation Analysis).
* Develop cutting-edge algorithms for perception, spatial understanding, and autonomous decision-making using deep neural networks and DSP techniques.
* Perform EDA (Exploratory data Analysis), modeling, and custom model tweaking for innovative applications.
* Design and build specialized application models, including signal separation tools, classification systems, and more.
* Handle complete system engineering challenges by integrating multiple algorithms and optimizing end-to-end performance.
Why Join Us?
We dont just solve problems; we redefine whats possible in the THz space. As part of our team, you will work in a collaborative, innovative environment where your ideas and expertise directly contribute to the next wave of technological breakthroughs.
Interested?
Contact us directly in our e-mails.
Join our deep tech revolution in the THz domain!
We are pioneering revolutionary applications in the THz domain, boldly venturing where the signal is often lost in the noise. Our work is transforming industries, and we invite you to walk this path with us as we break new ground in signal processing, AI.
What Youll Do:
* Lead research and development of advanced signal processing algorithms in environments with extremely low signal-to-noise ratios (Quadrature Modulation Analysis).
* Develop cutting-edge algorithms for perception, spatial understanding, and autonomous decision-making using deep neural networks and DSP techniques.
* Perform EDA (Exploratory data Analysis), modeling, and custom model tweaking for innovative applications.
* Design and build specialized application models, including signal separation tools, classification systems, and more.
* Handle complete system engineering challenges by integrating multiple algorithms and optimizing end-to-end performance.
Why Join Us?
We dont just solve problems; we redefine whats possible in the THz space. As part of our team, you will work in a collaborative, innovative environment where your ideas and expertise directly contribute to the next wave of technological breakthroughs.
Interested?
Contact us directly in our e-mails.
Requirements:
Qualifications:
* Hands-on experience in Computer Science, Electrical Engineering, Mathematics, Physics, or data Engineering (coding, EDA, and algorithm development).
* Minimum 5 years of experience in deep learning algorithm development for computer vision or radar signals.
* Expertise in software engineering, from design and implementation to deployment of solutions.
* Proven experience with Python and AI/CV libraries (PyTorch, TensorFlow, OpenCV, Scikit-learn).
* Proven track record of building and deploying ML/ DL solutions in production environments.
* Proactive mindset, excellent self-management, problem-solving, and attention to detail.
* Strong verbal communication skills for collaboration and problem resolution.
Advantages:
* Experience deploying deep learning algorithms on edge devices (e.g., using NVIDIA TensorRT or other inference optimization libraries).
* Familiarity with Python, C ++, or MATLAB.
* Experience with cloud platforms like AWS, GCP, or Azure.
Qualifications:
* Hands-on experience in Computer Science, Electrical Engineering, Mathematics, Physics, or data Engineering (coding, EDA, and algorithm development).
* Minimum 5 years of experience in deep learning algorithm development for computer vision or radar signals.
* Expertise in software engineering, from design and implementation to deployment of solutions.
* Proven experience with Python and AI/CV libraries (PyTorch, TensorFlow, OpenCV, Scikit-learn).
* Proven track record of building and deploying ML/ DL solutions in production environments.
* Proactive mindset, excellent self-management, problem-solving, and attention to detail.
* Strong verbal communication skills for collaboration and problem resolution.
Advantages:
* Experience deploying deep learning algorithms on edge devices (e.g., using NVIDIA TensorRT or other inference optimization libraries).
* Familiarity with Python, C ++, or MATLAB.
* Experience with cloud platforms like AWS, GCP, or Azure.
This position is open to all candidates.
