Facing the challenges of our time
Help us grow and be more impactful!
The “Edge AI and Vision” group of our “Integrated & Wireless Systems” Business Unit based in Neuchâtel, Switzerland, is currently looking for a AI Engineer Intern – Synthetic Radar Data Generation.
Your mission
The candidate will develop and use a radar simulation platform to generate high-quality synthetic radar data for training and evaluating AI models. They will create realistic 3D environments in Blender, build automated data generation pipelines, and support the development of deep learning models for radar perception tasks. The goal is to enable robust AI solutions by leveraging physics-based synthetic data and modern machine learning techniques.
The candidate is expected to present their results at the end of the project, which will last a minimum of 6 months .
Your responsibilities
Create and configure radar simulation scenarios and generate synthetic radar datasets
Design and prepare 3D environments and assets using Blender for radar simulation
Develop Python scripts to automate data generation and preprocessing workflows
Train and evaluate deep learning models using frameworks such as PyTorch or TensorFlow
Apply basic signal processing techniques such as filtering, denoising, and data preparation
Document workflows and support continuous improvement of the simulation and AI pipeline
Develop and configure radar simulation scenarios using a radar simulation platform
Capability to autonomously learn new technologies and apply them creatively
Document workflows and support continuous improvement of the simulation and AI pipeline
Your Profile
Know-how
Student in Computer Science, Artificial Intelligence, Electrical Engineering, Robotics, or related field
Strong programming skills in Python
Experience with deep learning frameworks such as PyTorch or TensorFlow
Knowledge of neural networks, including LSTM and Transformer architectures
Experience with Blender for 3D scene creation or willingness to learn
Basic understanding of signal processing concepts
Interested in simulation, AI, and radar technologie
Interpersonal skills
High autonomy and self-driven attitude
Strong teamwork and cross-disciplinary collaboration
Clear communication with engineers, researchers, and partners
Curious and eager to learn new technologies
Strong problem-solving / troubleshooting mindset
Good documentation and reporting skills
CSEM mission and values
We believe in a future that is imagined, shared, and created TOGETHER.
At CSEM, we don’t just innovate; we envision technologies that shape tomorrow.
Since 1984, our purpose has remained constant: to harness science and technology for the benefit of society. Today, with over 650 people across Switzerland, we remain committed to our mission: to develop and transfer world-class solutions in digital technologies, precision manufacturing, and sustainable energy systems. In doing so, we empower Swiss industry to innovate and remain competitive.
Our strength is the excellence of our people. We believe that strong values support the successful development of our organization as well as the harmonious and balanced development of all our employees.
We are
A unique place between research and industry at the cutting edge of new technologies
An innovative, non-profit, and employee-driven company
A dynamic, multidisciplinary, and multicultural environment
A solar team focused on enabling solutions to energy challenges for a sustainable world
Working@CSEM means
being part of a passionate community
incredible flexibility, attractive working conditions, and great opportunities of development
benefit from a management style based on trust & feedback and that favors a work-life balance
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity.
We look forward to receiving your complete application file via (CV, cover letter, certificates & diplomas) our job page. Preference will be given to professionals applying directly.
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