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 tasks will include:
Work closely with our global team of engineers and product managers in the development of new functionality and tools for our software suite
Play a vital role in the development of custom projects for our clients
Understand business requirements and think of solutions in terms of not just the coding implementation, but also a solution that will best serve the driving need
Optimize and further enhance existing tech solutions and determine the next steps in the evolution
Work on the algorithmic solving of computational problems
Qualifications you need to have:
Bachelor's/Master’s degree in Engineering, Computer Science, Software Development, or a related field
Strong knowledge and practical experience with AI/ML concepts, Large Language Models (LLMs), and modern Generative AI technologies
Strong understanding of AI/LLM infrastructure, including model serving, inference, APIs, embeddings, vector databases, RAG pipelines, and AI service integration
Experience with agentic AI systems and architecture, including tool use, function calling, agent workflows, orchestration, and multi-step reasoning
Strong Python programming skills, with proficiency in writing clean, maintainable, and Pythonic code
Experience with relevant AI/ML frameworks and libraries such as PyTorch, Hugging Face, LangChain, LangGraph, NumPy, and related tools
Good understanding of software engineering principles, APIs, distributed systems, and integration of AI capabilities into production applications
Strong problem-solving and analytical skills, with the ability to quickly understand complex systems and identify effective solutions
Fluent written and verbal communication skills in English
Qualifications that will be considered:
Experience developing and integrating AI Assistants, Agentic AI systems, or LLM-based applications
Experience with RAG systems, information retrieval, embeddings, re-ranking, vector databases, and evaluation of LLM-based systems
Experience with AI infrastructure and deployment, including model serving, containers, cloud/on-premises environments, GPUs, and performance optimization
Background in C or C++ programming and experience integrating AI/ML components into C/C++ applications
Experience with NLP, LLM fine-tuning, prompt engineering, or LLM evaluation
Familiarity with Linux, networking, REST APIs, and distributed systems
Experience with CI/CD, automated testing, and production software development
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
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 Kato Scholari
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!
We’re doing work that matters. Help us solve what others can’t.Skills Required
- Bachelor's or Master's degree in Engineering, Computer Science, Software Development, or a related field
- Strong knowledge and practical experience with AI/ML concepts, large language models, and generative AI technologies
- Understanding of AI/LLM infrastructure, including model serving, inference, APIs, embeddings, vector databases, RAG pipelines, and AI service integration
- Experience with agentic AI systems and architecture, including tool use, function calling, agent workflows, orchestration, and multi-step reasoning
- Strong Python programming skills and ability to write clean, maintainable Pythonic code
- Experience with AI/ML frameworks and libraries such as PyTorch, Hugging Face, LangChain, LangGraph, and NumPy
- Understanding of software engineering principles, APIs, distributed systems, and production AI integration
- Strong problem-solving and analytical skills
- Fluent written and verbal communication skills in English
- Experience developing or integrating AI assistants, agentic AI systems, or LLM-based applications
- Experience with RAG, information retrieval, embeddings, re-ranking, vector databases, and LLM evaluation
- Experience with AI infrastructure deployment, model serving, containers, cloud or on-premises environments, GPUs, and performance optimization
- C or C++ programming and integration of AI/ML components into C/C++ applications
- Experience with NLP, LLM fine-tuning, prompt engineering, or LLM evaluation
- Familiarity with Linux, networking, REST APIs, and distributed systems
- Experience with CI/CD, automated testing, and production software development
Cadence Design Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cadence Design Systems and has not been reviewed or approved by Cadence Design Systems.
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Equity Value & Accessibility — A discounted ESPP with a lookback feature and equity included in total compensation make ownership broadly accessible and potentially meaningful. Structured compensation at an industry leader adds predictability to equity participation.
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Healthcare Strength — Medical, dental, and vision coverage are described as solid, with mental‑health/EAP and fertility support enhancing the offering. The breadth across core care and family‑building needs strengthens the healthcare package.
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Leave & Time Off Breadth — Global Recharge Days, volunteer time off, and companywide breaks indicate a comprehensive time‑off framework. In addition, many salaried roles are described as having flexible or generous PTO policies.
Cadence Design Systems Insights
What We Do
Cadence enables electronic systems and semiconductor companies to create the innovative end products that are transforming the way people live, work and play. Cadence® software, hardware and IP are used by customers to deliver products to market faster. The company's Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to intelligent systems—in mobile, consumer, cloud, data center, automotive, aerospace, IoT, industrial and other market segments. Cadence is listed as one of Fortune Magazine's 100 Best Companies to Work For.
