Lead Software Engineer (Agentic AI)

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

Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality.

Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health.

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

Job Title:                                             Lead Software Engineer (Agentic AI)

Location:                                       Cork, Ireland or Cambridge UK

Reports to:                                         Software Engineering Group Director

Job Overview:

We are seeking a software engineer to join our team responsible for developing and maintaining Agentic AI applications in the digital verification domain. This role offers an exciting opportunity to work at the intersection of computational software, hardware verification and artificial intelligence, helping to shape the future of Cadence's innovative solutions.

Job Responsibilities:

• Design and development of AI systems and AI features within Cadence’s suite of verification tools.
• Identify and evaluate opportunities to apply AI to solve very hard real-world engineering problems.
• Effectively communicate and educate other engineers in the theory and best practices of the application of AI.
• Evaluate and select AI algorithms and tools appropriate for specific problems.
• Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results.
• Reporting and documenting on AI processes and results.
• Participate in code reviews, testing, and debugging to ensure high-quality, reliable software
• Stay current with industry trends and emerging technologies in AI

Job Qualifications:

• BSc in Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience,
• Or M.Sc plus 2+ years of experience in implementing ML models and applications,
• Or PhD in a relevant area.
• Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques.
• Extensive experience in building AI based applications
• Strong understanding of Software Development best practices and in OO Design principles and patterns.
•  Very strong competency in mathematics, statistics, data structures and algorithms.
•  A penchant for finding outstanding solutions to very difficult problems.
•  Excellent communication skills and collaboration capabilities.
•  Ability to work in a diverse/multi-cultural environment.

Additional Skills/Preferences:                     

• Experience with Large Language Models
• Familiarity with prompt engineering techniques
• Experience or understanding of electronic design.
• Experience developing in a Linux environment.
• Experience with version control tools such as Git.
• Experience dealing with customers & external stakeholders.
• Strong presentation skills.

Work Arrangements

• Hybrid working model with 4 in-office days expected
• Opportunities for collaboration with global teams

Why Join Cadence?

• Work with cutting-edge AI technology that impacts the development of next-generation products
• Collaborate with industry experts and thought leaders in computational software
• Professional development opportunities and clear career progression paths
• Inclusive workplace culture that values diversity of thought and innovation

Additional Information:

Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace. 

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