(Senior) R&D Engineer Industrial AI (F/M/D) 100%

CSEM SA; Alpnach; On-site; CHF 110,000 - 150,000; Full time

Job summary

CSEM SA in Alpnach, Switzerland, is seeking an (Senior) R&D Engineer to join the Predictive Analytics group. You will develop AI-driven solutions that transform industrial data into actionable intelligence.

You will work closely with customers and multidisciplinary teams to understand industrial challenges, evaluate state-of-the-art technologies, and deliver solutions from early feasibility studies through deployment.

Qualifications

• Master's or PhD degree in Computer Science, AI, Engineering, Robotics, Mechatronics, or a related field with a focus on AI and Deep Learning.
• Recent graduates with a relevant Master's thesis are encouraged to apply.

Responsibilities

• Design, develop and deploy AI-driven solutions for industrial and research applications.
• Develop algorithms for automation, prediction, optimisation, anomaly detection, machine perception and process monitoring.
• Work with time series, images, video, sensor data, spectroscopy data, text and multimodal data.
• Design software components, data pipelines and AI frameworks for industrial environments.
• Evaluate emerging technologies and transfer research to practical solutions.
• Collaborate across multidisciplinary teams and participate in project reviews and customer presentations.

Skills

Python

Computer Vision

Deep Learning

Digital Signal Processing

Industrial machinery understanding

Education

Master's or PhD in AI/Engineering

Job description

Facing the challenges of our time

Help us grow and be more impactful!

The Predictive Analytics group based in Alpnach, is looking for a motivated and skilled R&D Engineer to join our Industrial AI activities. Our team develops intelligent technologies that enable industrial systems to perceive, understand, predict, and optimise complex processes. Combining advanced machine learning, computer vision, multimodal sensing, and optimisation, -technologies, we support industrial partners in addressing challenging problems across manufacturing, transportation, logistics, and other high-value sectors.

Your mission

As an (Senior) R&D Engineer, you will develop innovative solutions that transform industrial data into actionable intelligence. You will work closely with customers and multidisciplinary teams to understand industrial challenges, evaluate state-of-the-art technologies, and deliver solutions from early feasibility studies through to deployment. Depending on experience and seniority, you may also take leadership of projects, contribute to business development, and help shape future research directions.

Your responsibilities

• Design, develop and deploy innovative AI-driven solutions for industrial and research applications involving software and hardware components.
• Develop algorithms for automation, prediction, optimisation, anomaly detection, machine perception, quality assessment, process monitoring and decision support.
• Work with diverse data modalities including time series, images, video, sensor data, spectroscopy data, text and multimodal datasets.
• Design and implement robust software components, data pipelines and AI frameworks suitable for industrial environments.
• Evaluate emerging technologies and transfer research results into practical industrial solutions.
• Contribute to scientific publications, demonstrators, prototypes and technology dissemination activities.
• Collaborate across multidisciplinary teams.
• Participate in project reporting, technical reviews and customer presentations.
• For senior candidates, manage projects including planning, resources, customer interactions and technical coordination.

Your profile

Know-how

• Master's or PhD degree in Computer Science, Neuroinformatics, Engineering, Robotics, Mechatronics, or a related field with a focus on Artificial Intelligence and Deep Learning. Recent graduates with a relevant Master’s thesis are encouraged to apply.

Minimal Requirements

• Proven experience in Python.Computer vision.
• Digital Signal Processing.
• Deep Learning.
• Understanding of industrial machinery.

Nice to have:

• Experience in C#.
• Proven experience in hardware integration.
• Proven experience with classical machine learning and deep learning (publications or relevant industrial experience).
• Experience working with databases (e.g., SQL).
• Experience with high-performance computing enviroments.
• Proven experience in integrating machine learning models into production systems or developing performance-critical applications.

Interpersonal skills

• Dedicated, resilient and innovation driven.
• Ability to work effectively in multidisciplinary teams.
• Autonomous, proactive and results-oriented personality.
• Fluency in German and English required, French beneficial.

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.

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.