Find Learning hardware Jobs in Dublin, D

Staff Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €295,000–€355,000 a year
- Master's degree
- AWS
- Bachelor's degree
Network Cabling Quality Technician
Amazon Data Services Ireland Limited - A65 —Dublin, County Dublin
- Full-time
- AWS
- Communication skills
AI Inference Engineer QVAC (100% remote Worldwide)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Computer Science
- English
- Research
Techncial Support Engineer
Elwood Roberts —Dublin, County Dublin
- €40,000–€45,000 a year
- Full-time
- No degree
- Computer networking
- Communication skills
Quick apply
Optical Deployment Engineer
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
Technology Infrastructure Assistant Vice President
Sumitomo Mitsui Banking Corporation —Dublin, County Dublin
- €57,000–€107,000 a year
- Weekend availability
- Hybrid work
- IT
- Communication skills
- Annual leave
Process Automation Lead - Arachas Location
Ardonagh Europe —Dublin, County Dublin
- Hybrid work
- Computer Science
- Salesforce
- Java
Senior Network Engineer
Salesforce —Dublin, County Dublin
- Full-time
- Engineering
- Analysis skills
- No degree
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
Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €80,000–€82,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Recovery Specialist, Value Recovery
Re:Cycle Reverse Logistics Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Bachelor's degree
- Manufacturing
New Product Introduction (NPI) Coordinator, Value Recovery
Re:Cycle Reverse Logistics Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- AWS
- Bachelor's degree
Staff Software Engineer, AI Reliability Engineering
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Bachelor's degree
- AI
- Communication skills
AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Master's degree
- AWS
- Bachelor's degree
Component Recovery Specialist, Value Recovery
Re:Cycle Reverse Logistics Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Bachelor's degree
- Business
ICT Design Engineer, EMEA
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- AutoCAD
- CAD
- AWS
Software Development Manager, Network Capacity Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- Java
- AWS
Data Center Facility Manager
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Bachelor's degree
- Electrical Engineering
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

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Staff Software Engineer, Inference

Anthropic -
Dublin, County Dublin

Apply Now

Job details

€295,000–€355,000 a year

Qualifications

Data modelling
Rust (programming language)
Law
Kubernetes
Load balancing
Google Cloud Platform
Master's degree
AWS
Bachelor's degree
Distributed systems
Communication skills
Python

Full job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.

Strong candidates may also have experience with:

High-performance, large-scale distributed systems
Implementing and deploying machine learning systems at scale
Load balancing, request routing, or traffic management systems
LLM inference optimization, batching, and caching strategies
Kubernetes and cloud infrastructure (AWS, GCP)
Python or Rust

You may be a good fit if you:

Have significant software engineering experience, particularly with distributed systems
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Want to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work

Representative projects across the org:

Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users
Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
Contributing to new inference features (e.g., structured sampling, prompt caching)
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

€295.000 - €355.000 EUR

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Apply Now

Refine Your Search

learning hardware jobs in dublin, d

Staff Software Engineer, Inference

Network Cabling Quality Technician

AI Inference Engineer QVAC (100% remote Worldwide)

Techncial Support Engineer

Optical Deployment Engineer

Technology Infrastructure Assistant Vice President

Process Automation Lead - Arachas Location

Senior Network Engineer

Energy Systems Integration Engineer

Customer Engineer, SMB, Artificial Intelligence

Recovery Specialist, Value Recovery

New Product Introduction (NPI) Coordinator, Value Recovery

Staff Software Engineer, AI Reliability Engineering

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

Senior Software Engineer, Inference

Component Recovery Specialist, Value Recovery

ICT Design Engineer, EMEA

Software Development Manager, Network Capacity Services

Data Center Facility Manager

Scaled Customer Engineer, SMB, Artificial Intelligence

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About Anthropic

About the role:

Strong candidates may also have experience with:

You may be a good fit if you:

Representative projects across the org:

Logistics

How we're different

Come work with us!

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