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Jobs & Career

Join Our Visionary Team at QDeepTech GmbH

At QDeepTech, we’re more than just a technology company. We’re a team of innovators, thinkers, and creators, dedicated to pushing the boundaries of what’s possible. Our mission is to develop cutting-edge solutions that make a significant impact on the world. And we’re looking for passionate individuals to join us on this journey.

Why QDeepTech?

  • Innovative Culture: Work in an environment that encourages creativity and out-of-the-box thinking. Our culture thrives on innovation and collaboration.
  • Cutting-edge Projects: Be part of projects that are at the forefront of technology. From AI to quantum computing, our work is shaping the future.
  • Career Growth: At QDeepTech, we believe in nurturing talent. We offer various professional development opportunities to help you reach your full potential.
  • Diverse and Inclusive Team: Join a global team that values diversity and inclusivity. We believe different perspectives lead to extraordinary outcomes.
 
 

Current Openings

Role Description

This is a full-time hybrid role for an Artificial Intelligence / ML Researcher / Engineer. The Engineer will develop and implement pattern recognition, neural networks, and algorithm-based solutions through computer science and statistical analysis. Work will be primarily based in Vienna, but the position does offer some remote work flexibility.

Qualifications

  • Bachelor’s/Master’s/Ph.D’s degree in Computer Science/Engineering/Applied Mathematics/Physics or related fields, specialized in signal processing.
  • 3+ years experience in digital signal processing specializing in image/audio/video.
  • Mastery in Neural Networks, Pattern Recognition, optimization techniques, Bayesian Inference, topological ML, optimization techniques, Deep Learning models, GAN models, Large Language Models, and related technologies.
  • Mastery of statistical models and algorithms, linear algebra, calculus, complex analysis, and information theory. Ability to develop new algorithms and mathematical models.
  • Research and work experience in one or more of these areas: Digital Signal Processing, Speech &Voice recognition, Voice Biometric,  Sound event detection, Acoustic Modeling, Speech and Voice Synthesis, Audiovisual understanding, such as e.g., audio coding, voice/speech synthesis, translation, enhancement, analysis, and related things.
  • Strong coding expertise in programming languages such as C, C++, Python and its relevant libraries, Scikit, TensorFlow, Keras, Matlab, R, and RTC.
  • Experience with Deep Learning/ Machine Learning Frameworks (Tensorflow, PyTorch, etc.)
    • Ability to design and implement solutions through programming languages (Python, C++, etc.)
  • Experience in developing, implementing, and deploying algorithms for real-time computation ( RTC).
  • Expertise in implementing and deploying AI/ML/DL solutions in real-world applications.
  • Experience building, testing, and deploying production-level machine learning applications.
  • Strong critical thinking and problem-solving skills with excellent attention to detail.
  • Experience with publications and benchmarking.
  • Excellent communication skills with the ability to collaborate with cross-functional teams and present complex technical ideas to technical and non-technical audiences.

Download full description

 

Role Description

This is a full-time hybrid Senior Software Audio Digital Signal Processing Engineer role. The engineer will be responsible for developing and implementing algorithms, especially for audio-digital signal processing. 

Qualifications

  • Bachelor/Master/Ph.D. degree in Electrical Engineering, Computer
    Science, Applied Mathematics/ Physics, or a related field.
  • Strong knowledge of mathematics and statistics, linear algebra, calculus,
    and complex analysis.
  • Strong coding skills in programming languages such as C, C++, Python,
    TensorFlow, Keras, Matlab, R, and RTC.
  • Experience with MATLAB, Simulink, and other simulation tools.
  • Strong analytical and problem-solving skills.
  • Strong attention to detail.
  • Experience in working with cross-functional teams and building teams.
  • Ability to work independently and efficiently manage time and deadlines.
  • Experience with publications, benchmarking, and patent filing is a plus.

Expertise 

  • 5+ years of experience in AUDIO Digital Signal Processing AND ANALYSIS.  
  • Expertise with audio RECORDING/ANALYSIS and other signal generation techniques, e.g., audio coding, voice/speech synthesis, translation, enhancement, biometrics, and related things.
  • Experience in AI/ML/DL is a plus. 

Download full description

Role Description

This is a full-time hybrid role for a Voice and Speech Signal pre-processing AI/ML/DL researcher and engineer. The candidate will develop voice and speech signal processing algorithms, ML/DL techniques, neural networks, and algorithm-based solutions for target applications. Work will be primarily based in Vienna, but the position does offer some remote work flexibility.

Qualifications

  • Bachelor’s/Master’s/Ph.D’s degree in Computer Science/Engineering/Applied Mathematics/Physics or related fields, specialized in voice and speech signal processing. 
  • 5+ years experience in voice and speech signal processing with a deep understanding of the signal and feature characteristics.
  • Mastery of statistical models and algorithms, linear algebra, calculus, complex analysis, and information theory. Ability to develop new algorithms and mathematical models.
  • Research and work experience in one or more of these areas; signal pre-processing, feature extraction, pattern recognition, speech processing, voice and speech applications, including TTS, voice conversion, voice and speech synthesis, speaker recognition, voice biometric, generative modeling, speech-to-speech translation, transformers, large language models and related things.
  • Strong coding expertise in programming languages such as C, C++, Python and its relevant libraries, Scikit, TensorFlow, Keras, Matlab, R, and RTC.
  • Experience with Signal Processing/Deep Learning/ Machine Learning Frameworks (Tensorflow, PyTorch, etc.)
  • Ability to design and implement solutions through programming languages (Python, C++, etc.)
  • Expertise in implementing and deploying AI/ML/DL solutions in real-world applications.
  • Building API and MVP.
  • Experience in real-time application.
  • Experience building, testing, and deploying production-level machine learning applications.
  • Strong critical thinking and problem-solving skills with excellent attention to detail.
  • Experience with publications and benchmarking. 
  • Excellent communication skills with the ability to collaborate with cross-functional teams and present complex technical ideas to technical and non-technical audiences.
New team member

Become part of our team and contribute your skills in an environment that promotes innovation, collaboration and individual growth.

We look forward to your application

We look forward to your application.

Application

The application with us is simple. Just use the following application form

What DO WE DO?

From challenge to Cross-Technological Innovative Solutions

We work together with the Industrial R&D department to strengthen their innovative capabilities, access and identify challenges and valuable problems, guarantee cross-technological innovative solutions, and create a competitive advantage while bringing business value.

Business to Technology (B2T)
  • Identify industry-specific challenges where the current technological approaches run into limits.
  • Translate the challenge into technological and well-established scientific language.
Cross-Technology to Innovations (T2I)
  • Identify different QDeepTech technologies to address the specific challenge.
  • Provide Cross-Technological Innovation blueprint for the solution
R&D Innovative Solutions

Modeling and Development of the Cross-Technological Innovative Solutions.

Innovations to Market (I2M)

Innovations meeting Marketability Criteria.