Who we are
Distran is a fast-growing, award-winning, Swiss high technology company producing an extraordinary product: a sensor that literally sees the sounds. Our unique product is used by major global players in Oil and Gas, Chemical, Power and even Space Exploration to detect gas leaks before they become dangerous to either humans or the environment. With strong growth in 35+ countries, our company continues to expand thanks to our amazing people passionate about innovation, climate change, and protecting the environment.
About the role
Join Distran in pioneering the future of ultrasonic imaging and leak detection on the world's first ultrasound camera!
As an R&D Signal Processing Engineer, you will be at the forefront of innovating our technology, spearheading the advancement of ultrasonic imaging and leak detection algorithms. Collaborating closely with software, and application engineers, you will push the frontiers of wave signal processing and quantitative acoustic imaging to enhance our client's experience with our cameras. Your contributions will lead to easier, more accurate, and safer gas leak detection.
In this role, your responsibilities will be to:
- Design and Prototype: Develop innovative acoustic imaging and array signal processing algorithms optimized for efficient execution within the computational limitations of the hardware.
- Model Development: Elaborate new physical and/or data-driven models for quantitative imaging and leak detection, contributing to enhanced accuracy and detection.
- Device Calibration: Refine and improve calibration models and procedures to optimize camera performance.
- Implementation and Experimentation: Implement algorithms and design experiments to validate them and assess their performance using real data. Collaborate cross-functionally to integrate new features into production.
- Documentation and Intellectual Property: Document findings thoroughly and contribute to patent applications and tender documents.
- Technology Watch: Stay up-to-date with the latest progress in signal processing and related fields, reviewing literature and monitoring the state-of-the-art to inform our research efforts
Your profile
- Advanced degree (MSc or PhD) in Applied Mathematics, Electrical Engineering, Computer Science, Data Science, or related field.
- Strong mathematical background with expertise in signal processing and areas such as:
- Wave signal processing
- Phased array signal processing (acoustic, radar, sonar, ultrasound, radio astronomy)
- Fourier analysis
- Image processing
- Audio signal processing
- Computational imaging
- Inverse problems
- Ultrasound imaging.
- Proficiency in mathematics, optimization, machine learning, and/or algorithmic.
- Comprehensive understanding of computational sciences and numerical computing.
- Strong expertise in Python programming with knowledge of:
- Python scientific packages (e.g., NumPy, SciPy)
- Deep learning frameworks (e.g., PyTorch, JAX)
- Experience in developing numerical libraries and familiarity with Git.
- Exceptional communication and writing skills in English to effectively convey complex ideas and drive collaboration within multidisciplinary teams.
Optional Qualifications
- Knowledge of Fourier optics, ray tracing
- Knowledge of spherical signal processing
- Knowledge in computer architecture, performance optimization, GPU/distributed computing
- Good knowledge of Linux operating systems
- Data visualization
- Machine/deep learning, automatic differentiation
What we offer
Bringing groundbreaking innovative technology to a market best-seller is a rewarding social and professional experience. This job is for you if you like to give meaning to your work and have a strong impact on a product, on a company and on your professional growth. Besides a competitive salary package, since the establishment of our offices, our employees in Zurich have been enjoying working in a multicultural and central location in the heart of a vibrant neighborhood of Zürich, as well as engaging weekly events sponsored by us.
Note to agencies
Distran does not accept unsolicited resumes from any sources other than directly from a candidate. Distran will not pay a fee for any placement resulting from the receipt of an unsolicited offer, even in a situation where Distran employs the relevant candidate. Agencies must obtain advance written approval from Distran’s Human Resources team to submit resumes, and then only in conjunction with a valid fully executed agreement for service and in response to a specific job opening. Distran will not pay a fee to any Agency that does not have such agreement in place.
We kindly request all applicants to submit their applications in English. As part of our evaluation process, we will only consider applications presented in English.
