Find Machine learning engineer Jobs in Clonee, Mh

EDA flow and Logic Synthesis Engineer (Staff Engineer)
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Amazon Data Services Ireland Limited —Dublin, County Dublin
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Google —Dublin, County Dublin
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Mastercard —Dublin, County Dublin
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Google —Dublin, County Dublin
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Infosys —Dublin, County Dublin
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Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
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Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
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West Pharmaceutical Services —Dublin, County Dublin
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Software Development Manager, ICON
Amazon Development Centre Ireland Limited —Dublin, County Dublin
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Scaled Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
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Principal Engineer, Grid Insights Lead
Analog Devices —Glasnevin, County Dublin
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EDA flow and Logic Synthesis Engineer (Staff Engineer)

Synopsys -
Dublin, County Dublin

Apply Now

Job details

Qualifications

Master's degree
Analysis skills
Bachelor's degree
Computer Engineering
AI
Communication skills
Debugging

Full job description

Date posted 06/29/2026

Category Engineering Hire Type Employee Job ID 17917 Remote Eligible No Date Posted 06/29/2026

We Are:

At Synopsys, we drive the innovations that shape how we live and connect. Our technology is central to the Era of Pervasive Intelligence — from self-driving cars to learning machines — and we lead in chip design, verification, and IP integration that power high-performance silicon and software.

Within our HPC Controller IP organization, the mid-end team is the bridge between RTL design and physical implementation. We build the flows, automation, and quality checks that synthesize, verify, package, and release complex soft IP at scale — and we hand physical-design teams inputs that are clean, constrained, and implementation-ready.

You Are:

A motivated mid-end engineer with a solid grasp of ASIC design and verification flows, and genuine enthusiasm for automation, flow robustness, and using AI to raise engineering productivity, debug speed, and quality of results. You partner naturally with RTL designers to understand design intent, turn their outputs into physical-design-ready inputs, and collaborate across verification, DFT, physical design, methodology, and tooling teams. You communicate clearly, take ownership, and let data guide your decisions.

What You’ll Be Doing:

Develop, run, and support mid-end flows spanning synthesis, DFT, static checking (SpyGlass), formal equivalence, power analysis, and related quality gates.
Convert RTL outputs into clean, constrained, implementation-ready inputs for physical design.
AI to accelerate the work (e.g., triaging flow logs, summarizingQoRtrends, drafting and refactoring scripts).
Debug flow failures end to end:analyzereports, isolate root cause, and drive issues to closure with design, verification, DFT, and implementation teams.
Improve documentation, handoff criteria, and reusable collateral so execution stays consistent across IP programs.

The Impact You Will Have:

Higher-quality RTL-to-physical-designhandoffs and lower implementation risk.
Faster, more scalable execution through stronger automation and AI-enabled analysis.
Synthesis, DFT, static, formal, and power issues caught earlier in the cycle.
Tighter collaboration across the RTL-to-implementation chain.
Robust, implementation-ready soft IP shipped with clear constraints, checks, and release collateral.

What You’ll Need(Core):

Working knowledge of ASIC design, verification, and mid-end development flows, typically gained through 5+ years of relevant experience or equivalent project work.
Hands-on synthesis experience, with the ability toanalyzeand resolve synthesis issues.
StrongTclscripting skills and a practical, automation-first mindset.
Familiarity with at least two of: DFT concepts, static checking (SpyGlassor equivalent), formal equivalence (e.g., Formality), or power analysis — and willingness to grow across the rest.
Ability to use AI tools effectively to accelerate debugging, summarize results, and improve scripts and flows.
Strong analytical, problem-solving, communication, and documentation skills.
BS/MS in Electrical/Computer Engineering or equivalent experience.

Nice to have :

Experience across the full mid-end set: DFT,SpyGlass, Formality, and power analysis.
IP development methodologies, IP packaging, or reusable IP delivery / release collateral.
Hands-on with Synopsys tools such as Fusion Compiler and VCSpyGlass.

Who You Are:

Proactive, curious, and adaptable.
Collaborative and ethical.
Flow-oriented, AI-aware, and quality focused.
Resilient and resultsoriented.

The Team You’ll Be A Part Of:

You’ll work with a high-impact High-Performance-Compute team focused on delivering complex IP to the marketplace. You will collaborate across RTL design, verification, DFT, physical design, methodology, and project infrastructure teams to improve mid-end readiness and enable predictable downstream implementation.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Your recruiter will provide more details about salary and benefits during the hiring process.

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

machine learning engineer jobs in clonee, mh

EDA flow and Logic Synthesis Engineer (Staff Engineer)

Staff Machine Learning Engineer

Software Engineer - Observability

Principal Data Scientist

Senior Staff Machine Learning Scientist, Recommendations

Research Scientist: Machine Learning for Drug Discovery and Genomic Data

Sr. Technical Program Manager, AWS Manufacturing Operations

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Software Development Engineer, ML Navigators

Senior Technical Solutions Consultant, Data Engineering

Capacity Planning Manager, CDP EMEA

Senior AI Engineer

Customer Engineer, SMB, Artificial Intelligence

Practice Lead - Data Science_ ML

Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations

Senior Applied Scientist, AWS Security

Project Engineer

Software Development Manager, ICON

Scaled Customer Engineer, SMB, Artificial Intelligence

Principal Engineer, Grid Insights Lead

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Category Engineering Hire Type Employee Job ID 17917 Remote Eligible No Date Posted 06/29/2026

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