We are looking for an outstanding individual with expertise in sustainability and a holistic perspective on the environmental footprint of AI workloads to shape and optimize sustainability features for AI workloads, collaborating closely with hardware and software engineers.
Requirements
- MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
- Hands-on experience in training and deploying AI models, particularly LLMs or equivalent large architectures
- Strong programming skills in Python and proficiency with ML frameworks, such as PyTorch or TensorFlow
- Strong knowledge of deep learning model optimization techniques, such as pruning, quantization, knowledge distillation, and reasoning optimization
- Experience in sustainability topics is highly desirable
- Familiarity with hardware/software co-design principles and methodologies is considered a plus
Benefits
- 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 at one of the most transformative AI and silicon engineering companies in Europe