FAQs
What is the main responsibility of a Research Scientist, Machine Learning Hardware Architect at RL Silicon?
The main responsibility of this role is to work with a team of researchers and engineers to develop and optimize low power machine learning accelerators and state-of-the-art SoCs.
What qualifications are needed for this position?
A PhD in a relevant field, such as Computer Science or Electrical Engineering, is required for this role. Experience in machine learning hardware architecture is also preferred.
What will be the primary focus of the work in this role?
The primary focus of this role will be on implementing and optimizing machine learning accelerators for low power consumption and high performance.
What kind of team will the Research Scientist, Machine Learning Hardware Architect be working with?
The Research Scientist will work with a world-class group of researchers and engineers who are focused on developing cutting-edge machine learning hardware technologies.
Are there opportunities for career growth and development in this role?
Yes, there are opportunities for professional growth and development within the Machine Learning Hardware team at RL Silicon. Top performers may have the chance to take on leadership roles or work on more advanced projects in the future.