Design, train, and optimize large-scale AI models, including LLMs and similar architectures.
Collaborate with hardware and software engineers to ensure efficient model deployment on custom silicon solutions.
Develop new techniques for improving training efficiency, model accuracy, and hardware utilization.
Implement distributed training strategies for large-scale models across high-performance computing infrastructures.
Explore and implement advanced AI/ML techniques, such as sparsity, quantization, and knowledge distillation.
Work with state-of-the-art frameworks such as TensorFlow, PyTorch, JAX, and Hugging Face Transformers.
Conduct performance benchmarking and profiling of ML workloads on custom accelerators.
Stay up to date with advancements in deep learning and AI hardware to bring innovative ideas into Openchip’s AI strategy.
Participate in technical discussions and contribute to Openchip’s AI research and development roadmap.

BSc, MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Proven experience in training and deploying large AI models, particularly LLMs or equivalent large architectures.
Strong programming skills in Python and proficiency with ML frameworks such as TensorFlow or PyTorch.
Experience with distributed training, model parallelism, and large-scale data handling.
Strong knowledge of deep learning model optimization techniques.
Experience working in a hardware/software co-design environment is highly desirable.
Fluent in English is a must; knowledge of additional European languages (German, Dutch, Spanish, French, or Italian) is a plus.

Join an innovative team and experience company growth.
We believe in investing in our employees and providing them with opportunities for growth and career development.
Work in a hybrid environment with flexible scheduling.
We offer a remuneration that values your experience.
A chance to work on one of the most transformative AI and silicon engineering companies in Europe.

Senior AI Engineer

Key skills