Software Engineer II - AI/ML for Crash and Electronics

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Join BETA CAE Systems, Greece, as a Software Engineer II and become part of Cadence Design Systems, the pivotal leader in mechanical and electronic systems design.

Leveraging Cadence’s Intelligent System Design strategy and BETA CAE’s innovative engineering solutions, we deliver advanced products that empower some of the world’s most forward-thinking companies across diverse industries such as consumer electronics, hyperscale computing, communications, automotive, aerospace, and healthcare.

In this role, you will contribute to shaping the future by collaborating with cross-functional teams across both companies to develop and promote impactful products and strategies. Joining us means becoming part of a dynamic and evolving environment where teamwork, innovation, and a global perspective drive our continued success and leadership in the industry.

Your day-to-day will include:

Programming environment : Linux /Windows

D esigning, training, evaluating, and iterating on deep learning models, and translating experimental results into robust, production-ready model pipelines

Model processing and analysis, research and development of software tools and algorithms in various fields including:

• •Crashworthiness and Safety (Automotive, Aerospace)
• •Human Body Modelling (Injury Biomechanics for Automotive and Aerospace)
• •Electronic components and Electronic Device drop shock testing (Electronics)

Algorithmic problem solving and data processing

Programming languages: Python & C/C++

Communication and collaboration with other members of the development, customer support, and quality assurance teams, as well as with international research teams

Q ualifications you need to have:

University degree from a School of Engineering in Mechanical Engineering, Civil Engineering, Biomedical Engineering, or Electrical Engineering

Good knowledge of Statics and Dynamics of Structures and/or Computational Mechanics

Strong foundation in machine learning and deep learning, including graph neural networks (GNNs), with hands-on experience using modern deep learning framework s for model training, evaluation, and generalization on real-world datasets

Analytical thinking and problem-solving skills Proficiency in the English language

Q ualifications that will be considered :

Diploma thesis or Master's thesis in Computational Mechanics

Knowledge of the Finite Element Method

Knowledge and experience with CAD/CAE software

Knowledge of Numerical Analysis methods

Knowledge of modern Machine Learning methods

Experience in programming with Python or another programming language

What we offer:

Permanent employment contract following a six-month evaluation period

Competitive salary package

State-of-the-art and continuously updated equipment (hardware and software)

Ongoing training in the latest technologies related to the field

Opportunities for professional growth and skill enhancement

Comprehensive private health insurance

Employee Assistance Program

Complimentary breakfast and lunch at the company dining hall

Company-provided transportation to and from the premises

Fully equipped on-site gym

Participation in the company’s Private Pension Fund (T.E.A.)

Ample parking facilities with electric car charging

Comfortable and modern working environment

Apply now for a place in our team!

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