Find Learning hardware engineer Jobs in Dublin 8, D

Sr. Technical Program Manager, AWS Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- AWS
Senior Technical Operations Engineer, Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Data analysis skills
- Master's degree
Senior Network Engineer
Salesforce —Dublin, County Dublin
- Full-time
- Engineering
- Analysis skills
- No degree
AI Inference Engineer QVAC (100% remote Worldwide)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Computer Science
- English
- Research
People Technology Platform Engineer (Workday)
Sony Interactive Entertainment —Dublin, County Dublin
- €50,000–€83,000 a year
- Hybrid work
- System design
- Agile
- Wellness program
- Annual leave
20h
Infrastructure Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- AI
- Leadership
Techncial Support Engineer
Elwood Roberts —Dublin, County Dublin
- €40,000–€45,000 a year
- Full-time
- No degree
- Computer networking
- Communication skills
Quick apply
Senior Civil Engineer , Data Centre Design Engineering
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AutoCAD
- Engineering
- Microsoft Office
Staff Quality Engineer II
BD —Dublin, County Dublin
- €75,900–€115,725 a year
- Engineering
- Analysis skills
- Project management
4d
Energy Systems Integration Engineer
Enel —Dublin, County Dublin
- €50,000–€65,000 a year
- Full-time
- Bachelor's degree
- No degree
- Scripting
- Annual leave
- Employee assistance program
Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
Optical Deployment Engineer
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
Software Development Engineer, ML Navigators
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Java
8d
Controls Engineer, Controls Engineer
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Senior SDK Hardware Simulator Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply
HV/MV Electrical Design Engineer, HV/ MV Design Engineering EMEA
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Field Operations Lead
Indra Sistemas S.A —Santry, County Dublin
- €34,134.19–€90,314.49 a year
- Weekend availability
- Hybrid work
- Maintenance
- Microsoft Office
- Analysis skills
- Employee assistance program
Quick apply
AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Embedded Systems Design Engineer
Eaton —Dublin, County Dublin
- Computer Science
- System design
- C++
Module Process Engineer (ALD)
Applied Materials —Leixlip, County Kildare
- €48,000–€66,000 a year
- Full-time
- Engineering
- Bachelor's degree
- In-person

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Sr. Technical Program Manager, AWS Manufacturing Operations

Amazon Data Services Ireland Limited -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Buffer (application)
Computer Science
Engineering
AWS
Project management
Bachelor's degree
Cloud computing
Leadership

Full job description

DESCRIPTION

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

We are seeking a Manufacturing Operations and Industrial Engineering Program Manager to help us fuel AWS’ explosive growth. This role is the single-threaded owner of factory layout and material flow design across AWS rack fulfillment manufacturing sites. You will work at the intersection of capacity planning, automation engineering, construction, and operations — spanning EC2, Machine Learning, and Storage hardware platforms in AWS manufacturing. Your work directly enables AWS to meet datacenter capacity commitments by ensuring manufacturing infrastructure scales efficiently, reliably, and repeatably across a global site network. Possessing strong leadership, influencing skills, and technical depth are critical elements of success for this role. This leader will establish manufacturing standards and publish process control guidelines to assure flawless ramp into volume manufacturing.

Key job responsibilities

Translate rack fulfillment capacity plans into data-driven facility layouts for AWS manufacturing operations, designing end-to-end material flow from dock receipt through assembly, integration, test, and dispatch across EC2, Machine Learning, and Storage product platforms
Design factory floor layouts including automation line stations, manual assembly zones, test positions, sub-assembly areas, burn-in, and repair workflows — determining optimal buffer sizing, automation vs. manual line trade-offs, and material handling system specifications (AMR/AGV routes, conveyors, ASRS) based on cycle time analysis, volume ramp curves, and product mix complexity
Develop and maintain industrial simulation models (FlexSim, Plant Simulation, or equivalent) to identify bottlenecks, validate throughput assumptions, optimize material flow paths, and establish performance metrics including takt time adherence, buffer occupancy, and transport cycle times
Coordinate utility and infrastructure requirements (power, cooling, network, compressed air) for each production zone with facilities and construction teams, ensuring infrastructure readiness aligns with layout phasing — particularly for high-density ML accelerator and Storage rack configurations requiring liquid cooling and high-power distribution
Manage phased layout plans aligned with construction milestones, enabling production in early zones while build-out continues in adjacent areas; own layout change control, produce clear visual documentation (2D/3D layouts, material flow diagrams, phasing overlays), and develop replicable standards across the global manufacturing site network
Drive continuous improvement and operations sustaining by owning the factory layout as a living document, partnering with Operations, Test, Process, and Automation Engineering teams to implement optimizations that reduce cycle time, improve throughput toward manufacturing-to-ship SLA targets, and enable rapid capacity deployment for new product platform introductions
Excellent communicator with an ability to concisely and precisely convey information to executives and cross functional teams
Needs to be an evangelist for teaching Automation to the organization.
Ability to multitask on several concurrent projects of med to high complexity

About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

Bachelor's degree in engineering, computer science or equivalent
5+ years of technical product or program management experience
5+ years of technical program management working directly with software engineering teams experience
7+ years of working directly with engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules

PREFERRED QUALIFICATIONS

5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

Refine Your Search

learning hardware engineer jobs in dublin 8, d

Sr. Technical Program Manager, AWS Manufacturing Operations

Senior Technical Operations Engineer, Manufacturing Operations

Senior Network Engineer

AI Inference Engineer QVAC (100% remote Worldwide)

People Technology Platform Engineer (Workday)

Infrastructure Engineer

Techncial Support Engineer

Senior Civil Engineer , Data Centre Design Engineering

Staff Quality Engineer II

Energy Systems Integration Engineer

Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations

Optical Deployment Engineer

Software Development Engineer, ML Navigators

Controls Engineer, Controls Engineer

Senior SDK Hardware Simulator Engineer

HV/MV Electrical Design Engineer, HV/ MV Design Engineering EMEA

Field Operations Lead

AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide

Senior Embedded Systems Design Engineer

Module Process Engineer (ALD)

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