Find Lead machine learning engineer Jobs in Leopardstown, D

Senior Embedded Systems Design Engineer
Eaton —Dublin, County Dublin
- Computer Science
- System design
- C++
14d
Lead Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Computer Science
- System design
- Master's degree
- Referral programme
7d
Project Engineering Management, Sr Staff Engineer
Synopsys —Dublin, County Dublin
- Microsoft Excel
- Engineering
- Master's degree
Senior Data Engineer
Elwood Roberts —Dublin, County Dublin
- €450–€500 a day
- Full-time
- Azure
- SQL
- AWS
Quick apply
Director, Finance Transformation
KAYAK —DUBLIN 2, County Dublin
- Full-time
- Remote
- Computer Science
- Engineering
- ERP systems
- Annual leave
- Employee assistance program
Quick apply
Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
12d
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
AI & Intelligent Automation Consultant (Retail Banking)
NTT Ltd —Dublin, County Dublin
- Hybrid work
- Mentoring
- AI
- Leadership
ASIC Digital Design, Architect
Synopsys —Dublin, County Dublin
- Analysis skills
- Communication skills
EDA flow and Logic Synthesis Engineer (Senior Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Bachelor's degree
- No degree
Development Manager
Sentrium —Dublin, County Dublin
- Remote
- Team management
- AI
- Leadership
- Annual leave
Software Development Manager, ICON
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- Team management
- Mentoring
Data Engineering Lead
Wibit Consulting & Services (WibitCS) —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Quick apply
12d
Practice Lead - Data Science_ ML
Infosys —Dublin, County Dublin
- Azure
- Doctoral degree
- Marketing
Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Forward Deployed Engineering Manager, Generative AI, Google Cloud
Google —Dublin, County Dublin
- €186,000–€191,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
12d
Senior AI Engineer
Citco —Dublin, County Dublin
- Full-time
- AWS
- AI
- Communication skills
Senior API Engineer
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Azure
- Management
- Computer Science
Scaled Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €64,000–€66,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Project Engineer
West Pharmaceutical Services —Dublin, County Dublin
- €51,040–€64,960 a year
- Overtime
- Engineering
- Microsoft Office
- Project management
2d

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Senior Embedded Systems Design Engineer

Eaton -
Dublin, County Dublin

Apply Now

Job details

14 days ago

Qualifications

CI/CD
MATLAB
Computer Science
Encryption
Lean
System design
Git
C++
Bachelor's degree
Simulink
Mentoring
GitHub
Linux
Debugging
Analytics

Full job description

Eaton Dublin

Eaton House in Dublin serves as our global headquarters and the home of our new Centre for Intelligent Power . Located in the heart of the city, this centre brings together leading researchers and innovators who are focused on meeting the challenge of intelligent power through machine learning , computational intelligence , and data science . This is where we develop the technologies that will shape the future of how the world manages, distributes, and optimises power.

What you’ll do:

Eaton Corporation’s Center for Intelligent Power is seeking a Senior Engineer, Embedded Systems Design to lead the design and development of next-generation edge intelligence platforms. The role combines hands-on embedded systems development with technical leadership across moderately complex projects, from concept through implementation and delivery.

The successful candidate will drive the design of hardware-integrated software solutions for edge devices, including prototyping, testing, and product integration, while coordinating activities across cross-functional teams and stakeholders. They will contribute to the development and optimization of analytics workloads and provide technical guidance on system architecture, signal processing, and hardware integration.

Operating with a high degree of independence, this role influences project direction, ensures delivery against requirements, and applies advanced engineering methods and tools to solve complex problems in an agile development environment.

Technical Delivery & Design

Contribute to the design and development of embedded software and communication infrastructure for deploying analytics on edge devices.
Own components of solution development from technical requirements through to implementation, validation, and integration.
Design and optimize DSP and machine learning workloads for embedded hardware platforms.
Develop advanced signal processing algorithms leveraging hardware acceleration capabilities.

System Integration & Architecture

Provide technical leadership in hardware/software integration, including architecture decisions, I/O configuration, and board-level considerations.
Develop and maintain software-in-the-loop and processor-in-the-loop validation frameworks.
Guide design trade-offs, performance optimization, and system-level decisions.

Project Execution & Collaboration

Coordinate technical activities across engineering, test, and stakeholder groups to ensure successful project delivery.
Contribute to backlog definition, sprint planning, and agile execution, ensuring alignment to project objectives.
Communicate technical plans, risks, and progress to stakeholders.

Quality, Process & Continuous Improvement

Support and drive software quality through structured testing, QA collaboration, and metrics tracking.
Identify and implement improvements in tools, processes, and development practices to enhance efficiency and compliance.
Apply engineering best practices, including secure coding, version control, and design methodologies.

Innovation & Capability Development

Explore and evaluate emerging tools, technologies, and methodologies relevant to embedded systems and edge analytics.
Contribute to knowledge sharing and mentoring within the team."

Qualifications:

Bachelor’s degree in computer science or related engineering discipline.
Minimum of 3 years’ experience in embedded C/C++ development with delivery of high-quality products.

Skills:

Strong experience with source control systems (e.g., Git) and build systems (cross-compilation, multi-repository environments).
Experience developing for real-time embedded Linux or RTOS environments (threading, communication, memory management).
Strong hardware/software integration knowledge including schematics, drivers, and communication protocols (e.g., SPI, I2C, DMA).
Experience with signal processing techniques (FFT, DWT, filtering).
Experience with MATLAB/Simulink code generation for embedded systems.
Proven debugging and problem-solving skills grounded in deep technical understanding.
Demonstrated ability to apply advanced problem-solving techniques and engineering tools to complex system challenges.
Strong system-level understanding of embedded hardware/software interactions and performance optimisation.
Awareness of emerging technologies, tools, and development methodologies.
Experience applying structured engineering processes (e.g., DFSS, Lean) preferred.

Preferred Skills:

Experience with unit testing frameworks and test-driven development.
Experience with build and test automation (e.g., CI/CD pipelines such as GitHub Actions).
Knowledge of cybersecurity principles including secure coding, encryption, and system security.
Experience with system simulation tools (e.g., QEMU, Renode).
Knowledge of software architecture principles and design patterns (e.g., SOLID, layered architecture).
Experience contributing to cross-functional engineering initiatives and mentoring junior engineers."
Contributes effectively toward team goals and influences the work of others.
Applies structured thinking and rigorous problem-solving to complex engineering challenges.
Supports continuous improvement and process discipline within engineering teams.
Communicates technical concepts clearly to diverse stakeholders.
Mentors and supports the development of less experienced engineers."

What We Offer

Competitive compensation and benefits package
Challenging projects in dynamic collaborative team
We make your aspirations matter – Eaton encourages internal promotion, whenever possible
We make your growth matter - We invest in our employees for the long term – not just with salary and benefits, but with ongoing learning and development opportunities made available through Eaton University.
We make your contributions matter - reliability, safety, efficiency, and sustainability are at the core of our dedication to improving people’s lives and the environment through power management technologies.
We make your wellbeing matter – We put your health and safety first. Wellness at Eaton is more than a program, it’s about changing the environment by offering the right tools to help empower employees to make that happen.

We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, color, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.

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Refine Your Search

lead machine learning engineer jobs in leopardstown, d

Senior Embedded Systems Design Engineer

Lead Data Analytics & AI Engineer

Project Engineering Management, Sr Staff Engineer

Senior Data Engineer

Director, Finance Transformation

Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations

Principal Data Scientist

AI & Intelligent Automation Consultant (Retail Banking)

ASIC Digital Design, Architect

EDA flow and Logic Synthesis Engineer (Senior Engineer)

Development Manager

Software Development Manager, ICON

Data Engineering Lead

Practice Lead - Data Science_ ML

Data Analytics and AI Team Lead

Forward Deployed Engineering Manager, Generative AI, Google Cloud

Senior AI Engineer

Senior API Engineer

Scaled Customer Engineer, SMB, Artificial Intelligence

Project Engineer

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