4 дня назад
AI Frameworks Engineer
76 900 - 142 100€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Frameworks Engineer (OpenVINO/C++): Designing and optimizing AI frameworks and distributed deep learning solutions for generative AI and high-performance inference across Intel hardware with an accent on computational graph transformation, numerical libraries, and hardware backend optimization. Focus on profiling distributed models, solving performance bottlenecks, and implementing thread-safe, scalable algorithms for deep learning workloads.
Location: Leixlip, Ireland; hybrid work model with time split between the assigned site and off-site work.
Annual salary: €76,900–€142,100, plus applicable compensation components and benefits.
Company
The Software Group develops AI solutions for edge and cloud environments, supporting deep learning, generative AI, and machine ligence applications.
What you will do
- Develop and optimize AI frameworks including OpenVINO, TensorFlow, and PyTorch.
- Implement distributed algorithms for model parallelism, data parallelism, and dataflow-based communication.
- Transform computational graph representations and develop machine learning primitives for mathematical libraries.
- Profile distributed deep learning models, identify performance bottlenecks, and implement optimization solutions.
- Optimize code across different computing hardware backends and collaborate with machine learning researchers and framework teams.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a related field with 4+ years of experience, or a master’s degree with 3+ years of experience.
- Strong C++ programming skills, including debugging, performance analysis, and modern software design.
- Understanding of multithreading and experience developing thread-safe code.
- Strong knowledge of data structures, algorithms, and compiler technologies.
- Hands-on experience with numerical modeling, high-performance computing, or computer vision.
Nice to have
- Experience with generative AI models such as Transformers or diffusion models.
- Knowledge of quantization, pruning, and other model optimization techniques.
- Experience with Hugging Face Transformers, OpenVINO Toolkit, or similar inference runtimes.
- Open-source contribution experience and a background in performance optimization.
Culture & Benefits
- Hybrid work model combining on-site and off-site work.
- Opportunity to contribute to AI solutions for edge and cloud environments.
- Work on technologies intended to improve AI performance across diverse industries.
- Total compensation package with additional pay components and benefits.
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