AI Frameworks Engineer

Intel Corporation; Leixlip; On-site; EUR 77,000 - 142,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Intel Corporation in Ireland, Leixlip, is seeking an AI Frameworks Engineer to design, develop, and optimize AI frameworks including OpenVINO and frameworks like TensorFlow and PyTorch for high-performance inference on Intel hardware.

You will implement distributed algorithms, transform computational graphs, profile models for bottlenecks, and collaborate with ML researchers to push advancements in generative AI and deep learning.

Qualifications

• Bachelor's degree in CS/CE/Math or related field with 4+ years of experience
• Master's degree with 3+ years of experience
• Proven expertise in C++ programming with debugging and performance analysis
• Demonstrated understanding of multithreading concepts and thread safety
• Strong skills in data structures, algorithms, and compiler technologies
• Hands-on experience with numerical modeling, HPC, or computer vision

Responsibilities

• Develop and optimize AI frameworks like OpenVINO and external frameworks such as TensorFlow and PyTorch.
• Implement distributed algorithms, including model/data parallel frameworks and dataflow-based communication for deep learning.
• Transform computational graph representations and develop ML primitives in mathematical libraries.
• Profile distributed deep learning models to identify performance bottlenecks and propose optimization solutions.
• Optimize code across various computing hardware backends.
• Collaborate with ML researchers and framework teams to integrate AI advancements efficiently.

Skills

C++ programming

Multithreading

Data structures

Algorithms

Compiler technologies

Numerical modeling

High-performance computing

Computer vision

Open-source contribution

Education

Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or related field

Master's degree in related field

Tools

PyTorch

TensorFlow

Hugging Face Transformers

OpenVINO Toolkit

Job description

Job Details: Job Description

The Role and Impact As an AI Frameworks Engineer, you will design, develop, and optimize AI frameworks, including Intel's OpenVINO Toolkit and external frameworks like TensorFlow and PyTorch. You'll focus on building scalable solutions for generative AI and deep learning, transforming computational graphs, and implementing distributed algorithms to accelerate AI performance across Intel hardware. Your expertise will tackle real-world challenges, enabling high-performance inference solutions that impact industries worldwide.

Business Group The Software Group at Intel is focused on advancing AI solutions across diverse industries, empowering developers to create cutting-edge applications for edge and cloud environments. As part of this team, you will contribute to enabling seamless and efficient AI experiences, ensuring Intel continues to drive innovation in deep learning, generative AI, and machine intelligence.

Key Responsibilities

• Develop and optimize AI frameworks like OpenVINO and external frameworks such as TensorFlow and PyTorch.
• Implement distributed algorithms, including model/data parallel frameworks and dataflow-based communication for deep learning.
• Transform computational graph representations and develop machine learning primitives in mathematical libraries.
• Profile distributed deep learning models to identify performance bottlenecks and propose optimization solutions.
• Optimize code across various computing hardware backends.
• Collaborate with machine learning researchers and framework teams to integrate AI advancements efficiently.

Qualifications

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or related field with 4+ years of experience OR Master's degree with 3+ years of experience.
• Proven expertise in C++ programming, including debugging, performance analysis, and modern software design techniques.
• Demonstrated understanding of multithreading concepts and developing thread-safe code.
• Strong skills in data structures, algorithms, and compiler technologies.
• Hands-on experience with numerical modeling, high-performance computing, or computer vision.

Preferred Qualifications

• Experience with generative AI models (e.g., Transformers, Diffusion models).
• Knowledge of model optimization techniques (e.g., quantization, pruning).
• Experience in deep learning frameworks like PyTorch, TensorFlow, or Hugging Face Transformers.
• Familiarity with OpenVINO Toolkit or similar inference runtimes.
• Background in performance analysis and optimization techniques.
• Experience contributing to open-source projects.
• Strong problem-solving skills and the ability to work collaboratively in diverse environments.

Other Details

We invite you to join Intel's team of visionaries and innovators, where your contributions will play a pivotal role in shaping the future of AI and advancing groundbreaking technologies.

Job Type: Experienced Hire
Shift: Shift 1 (Ireland)
Primary Location: Ireland, Leixlip
Additional Locations:

Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust N/A
EU Salary We offer a total compensation package that ranks among the best in the industry.

Annual Salary Range for this job which could be performed in Ireland is: 76,900.00 € - 142,100.00 €

Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

* Job posting details (such as work model, location or time type) are subject to change.
* Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology.

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