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 aSoftwareEngineerII 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:
Programmingenvironment:Linux/Windows
Designing, 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 ofsoftwaretoolsand algorithmsinvariousfieldsincluding:
- 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
Qualifications 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 foundationin machine learning and deep learning, including graph neural networks (GNNs), with hands-on experience using modern deep learning frameworksfor model training, evaluation, and generalization on real-world datasets
Analytical thinking and problem-solving skillsProficiencyin the English language
Qualificationsthatwill be considered:
Diploma thesis orMaster'sthesis 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
Whatweoffer:
Permanent employment contract following a six-month evaluation period
Competitivesalarypackage
State-of-the-artand continuously updated equipment (hardware and software)
Ongoing training in the latest technologies related to the field
Opportunities for professional growth and skill enhancement
Comprehensiveprivatehealthinsurance
EmployeeAssistanceProgram
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 placeinour team!