Find data scientist Jobs in maynooth county kildare

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Lead AI Engineer - Financial Inclusion
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Head of Digital Platforms and AI Marketing Transformation, Director
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Micron Agritech —Dublin, County Dublin
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Staff Engineer (Machine Learning)

Synopsys -
Dublin, County Dublin

Apply Now

Job details

Qualifications

Doctoral degree
Computer Science
UNIX
Research
Electrical engineering
Master's degree
Bachelor's degree
Perl
Scripting
Linux
Electrical Engineering
Communication skills
Python

Full job description

Dublin, Leinster, Ireland

Category Engineering Hire Type Employee Job ID 15526 Date posted 03/08/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

We’re at the heart of the innovations that change the way we work and play—self-driving cars, artificial intelligence, the cloud, 5G, and the Internet of Things. These breakthroughs are ushering in the Era of Smart Everything, and we’re powering it all with the world’s most advanced technologies for chip design and software security.

You Are:

A driven engineer with hands-on experience in chip design, you combine technical expertise with a passion for innovation. Comfortable with scripting and automation, you excel at identifying and solving complex design challenges within Unix/Linux environments. Collaborating across teams comes naturally, and you communicate effectively with diverse audiences. Your background in electrical engineering, computer science, or a related field is reinforced by a strong understanding of ML-driven design optimization. Eager to stay ahead of industry trends, you thrive in fast-paced, technology-driven settings and are motivated to deliver impactful solutions.

What You’ll Be Doing:

Designing and developing machine learning-based optimization applications for advanced chip design, spanning architectural through physical design levels.
Integrating ML-driven solutions into a variety of EDA tools, building on the success of DSO.ai and expanding beyond physical implementation.
Automating chip design flows with scripting languages (Perl, Python, Tcl, shell scripts) to increase efficiency and reproducibility.
Collaborating with cross-functional teams to identify design bottlenecks and propose innovative solutions for enhancing power, performance, and area (PPA).
Conducting research and prototyping novel chip design methodologies, demonstrating new concepts, and driving them to productization.
Staying current with industry trends in silicon design, machine learning, and EDA, and championing their adoption within Synopsys’ product lines.

The Impact You Will Have:

Accelerate the development of next-generation silicon chips by enabling smarter, faster design optimization through AI and machine learning.
Reduce time-to-market for customers by eliminating months off project schedules, directly impacting their competitiveness.
Enhance the performance, power efficiency, and cost-effectiveness of chips designed with Synopsys’ tools, driving industry-leading outcomes.
Shape the evolution of EDA software by pioneering ML-driven methodologies adopted by semiconductor leaders worldwide.
Enable customers to autonomously explore vast design spaces, achieving optimal results with reduced manual intervention.
Strengthen Synopsys’ position as the global leader in silicon design and verification by delivering innovative, high-impact solutions.

What You’ll Need:

Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or a related discipline.
5+ years of experience in chip design, EDA, or related fields.
Expertise in at least one domain of chip design (architectural, micro-architectural, RTL, circuit, or physical design).
Strong programming and automation skills using Perl, Python, Tcl, or shell scripting.
Solid understanding of Unix/Linux environments and design flow automation.
Knowledge of industry-standard RTL design, synthesis, place and route, verification, ATPG, custom-circuit design, and signoff flows.
Familiarity with low power design techniques, computer architecture, and machine learning principles.

Who You Are:

A creative problem solver who approaches challenges with curiosity and resilience.
An effective communicator who collaborates well with multidisciplinary teams.
Detail-oriented with a passion for quality and continuous improvement.
Self-driven, adaptable, and comfortable with ambiguity in fast-paced environments.
Committed to learning, growth, and sharing knowledge with others.

The Team You’ll Be A Part Of:

You’ll join the Machine Learning Center of Excellence (ML CoE) within Synopsys’ Silicon Design & Verification business. This highly innovative team is at the forefront of integrating AI and ML into chip design, collaborating with experts across architecture, implementation, and verification. Together, you’ll drive the development of ML-based design optimization solutions and set new standards for the semiconductor industry.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

#TPG

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Apply Now

Refine Your Search

data scientist jobs in maynooth county kildare

Staff Engineer (Machine Learning)

Senior Principal Clinical Data Scientist

Investment Analyst - Investment Analytics

Senior QA Automation Engineer (AI-First)

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Head of Digital Platforms and AI Marketing Transformation, Director

Senior ML Engineer, Computer Vision

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