Home Jobs Senior AI Engineer
Back to Jobs

Senior AI Engineer - Job Opportunity at Synopsys

Dublin, Ireland
Full-time
Senior
Posted: June 2, 2025
On-site
EUR 85,000 - EUR 120,000 annually based on Dublin's competitive tech market, with Synopsys likely offering compensation in the upper range given their market position and the senior-level requirements, potentially including equity components and performance bonuses typical for established technology companies competing for top AI talent.

Benefits

Comprehensive health and wellness benefits package designed to support employee well-being and reduce personal healthcare costs
Financial benefits portfolio including competitive compensation structures and monetary rewards aligned with market standards
Total rewards system combining both monetary and non-monetary offerings to maximize employee value proposition
Detailed benefits discussion during recruitment process ensuring transparency and competitive positioning

Key Responsibilities

Design and implement state-of-the-art AI solutions that directly impact product innovation and market differentiation across multiple industry domains
Lead cross-functional collaboration initiatives to successfully integrate AI models into production systems, driving operational efficiency and product capabilities
Conduct advanced research and experimentation to enhance existing AI algorithms and develop breakthrough technologies that establish competitive advantages
Execute sophisticated data analysis on large-scale datasets to extract actionable insights that inform strategic AI model development and business decisions
Optimize AI model performance, scalability, and reliability to ensure enterprise-grade deployment and operational excellence
Provide strategic technical guidance and mentorship to junior engineers, fostering team growth and knowledge transfer that strengthens organizational capabilities

Requirements

Education

Minimum Masters degree or Bachelors with 5+ years

Experience

5+ years

Required Skills

Strong proficiency in programming languages such as Python, C++, or Java Extensive experience with machine learning frameworks like TensorFlow, PyTorch, or Keras Deep understanding of AI algorithms, including neural networks, reinforcement learning, and natural language processing Experience with data preprocessing, feature engineering, and model evaluation techniques Familiarity with cloud platforms and tools for deploying AI models at scale Excellent problem-solving skills and attention to detail Strong communication skills to articulate complex ideas clearly and effectively Collaborative and team-oriented approach with proactive work methodology Adaptable mindset with eagerness to learn new technologies and methodologies
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The semiconductor and EDA industry is experiencing unprecedented demand for AI-driven design automation tools as chip complexity increases exponentially, with companies requiring sophisticated AI solutions to manage design verification and optimization processes that traditional methods cannot handle efficiently. Synopsys operates in the critical intersection of AI and semiconductor design, where artificial intelligence is becoming essential for next-generation chip development, autonomous vehicle processors, and IoT devices, positioning this role at the forefront of technological innovation that enables the digital transformation across industries. The Era of Pervasive Intelligence mentioned by Synopsys reflects the broader market shift toward AI-embedded systems in everything from consumer electronics to industrial automation, creating substantial demand for AI engineers who can develop scalable, production-ready solutions that integrate seamlessly with existing semiconductor design workflows.

Role Significance

Likely part of a 8-15 person AI engineering team within Synopsys's broader R&D organization, with this role serving as a technical leader who collaborates across multiple product teams and potentially manages 2-4 junior engineers or researchers.
This is a high-impact senior individual contributor role with significant technical leadership responsibilities, requiring someone who can operate independently while guiding junior team members and influencing technical direction across multiple product lines and cross-functional teams.

Key Projects

Development of AI-powered electronic design automation tools that accelerate chip design cycles and improve design quality for semiconductor manufacturers Implementation of machine learning algorithms for design verification and validation processes that traditionally require extensive manual testing and analysis Creation of intelligent optimization systems for power, performance, and area trade-offs in semiconductor design workflows Research and development of next-generation AI models specifically tailored for automotive semiconductor applications and safety-critical systems

Success Factors

Deep technical expertise combined with the ability to translate complex AI concepts into practical solutions that integrate with existing semiconductor design tools and workflows, requiring both theoretical knowledge and hands-on implementation experience. Strong collaboration and communication skills to work effectively across diverse teams including hardware engineers, software developers, and product managers who may have varying levels of AI expertise, ensuring successful technology adoption and integration. Proactive approach to staying current with rapidly evolving AI technologies while understanding the specific constraints and requirements of semiconductor design automation, balancing cutting-edge innovation with industrial-grade reliability and performance requirements. Leadership capabilities to mentor junior team members and guide technical decision-making while managing complex projects that span multiple product lines and have direct impact on customer-facing solutions.

Market Demand

Exceptionally high demand driven by the critical shortage of experienced AI engineers who can work at the intersection of artificial intelligence and semiconductor design, with Dublin's growing tech ecosystem and Synopsys's global presence creating particularly strong competition for qualified candidates.

Important Skills

Critical Skills

Python proficiency is absolutely essential as it remains the dominant language for AI/ML development, with most frameworks, libraries, and tools in the AI ecosystem built around Python, making this skill fundamental for model development, data processing, and integration with existing systems. Deep understanding of neural networks, reinforcement learning, and NLP is critical because these represent the core AI technologies most applicable to design automation challenges, optimization problems, and intelligent tool development that Synopsys requires for next-generation EDA solutions. Experience with TensorFlow, PyTorch, or Keras is vital for practical AI model development and deployment, as these frameworks provide the foundation for building scalable AI solutions that can be integrated into production systems and maintained by broader engineering teams. Cloud platform familiarity is increasingly critical as AI model training and deployment require scalable computing resources, and modern software development practices demand cloud-native approaches for reliability, scalability, and collaboration across global teams.

Beneficial Skills

C++ proficiency would be highly valuable for optimizing AI model performance and integrating with existing Synopsys tools that are likely built in C++, enabling better performance optimization and seamless integration with legacy systems. Domain knowledge in semiconductor design or EDA tools would accelerate contribution to product development and enable more effective collaboration with domain experts, though this can be learned on the job given the strong AI foundation. Experience with distributed computing and high-performance computing would be beneficial for scaling AI solutions to handle the massive datasets and computational requirements typical in semiconductor design and verification workflows. Knowledge of software engineering best practices including version control, CI/CD, and testing frameworks would support the development of production-quality AI systems that meet enterprise software standards.

Unique Aspects

Opportunity to work on AI applications that directly enable the development of cutting-edge semiconductors used in autonomous vehicles, 5G infrastructure, and next-generation computing systems, providing exposure to some of the most challenging technical problems in the technology industry.
Position within a company that serves as critical infrastructure for the entire semiconductor ecosystem, meaning the AI solutions developed will have widespread impact across multiple industries and potentially influence the development of future technology platforms.
Access to Synopsys's extensive portfolio of design tools and IP, providing unique insights into semiconductor design challenges and opportunities to develop AI solutions that integrate with established industry-standard workflows and tools.
Role combines pure AI research with practical engineering challenges specific to semiconductor design automation, offering a unique career path that bridges academic AI research with high-impact industrial applications.

Career Growth

Typical progression to principal-level individual contributor roles within 3-4 years, or transition to engineering management within 2-3 years, with executive technical leadership roles achievable within 5-7 years given the high demand for experienced AI engineering leaders.

Potential Next Roles

Principal AI Engineer or AI Architect roles focusing on system-wide AI strategy and technical leadership across multiple product lines within Synopsys or similar EDA companies AI Engineering Manager positions leading larger technical teams and managing the intersection of AI research and product development in semiconductor or related technology sectors Technical Director or VP of AI Engineering roles in established technology companies or startups focusing on AI applications in specialized domains like automotive, healthcare, or industrial automation

Company Overview

Synopsys

Synopsys is a leading provider of electronic design automation software, semiconductor IP, and application security testing tools, serving as a critical infrastructure provider for the global semiconductor industry with over 19,000 employees worldwide and annual revenue exceeding $5 billion.

Market leader in EDA tools with dominant position in design verification and simulation software, competing primarily with Cadence Design Systems and Mentor Graphics, while maintaining strong customer relationships with all major semiconductor manufacturers and system companies globally.
Dublin office serves as a significant European R&D hub for Synopsys, focusing on advanced technology development and serving European customers, with this location providing access to Ireland's growing tech talent pool and favorable business environment for international technology companies.
Engineering-focused culture emphasizing technical excellence and innovation, with strong emphasis on continuous learning and professional development typical of established technology companies that compete on technical differentiation and long-term customer relationships rather than rapid market disruption.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.