Machine Learning System Tooling Tech Lead, Silicon

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with computer architecture concepts, including microarchitecture, cache hierarchy, pipelining, and memory subsystems.
  

Preferred qualifications:

• Master’s degree or PhD with an emphasis on performance evaluation for Machine Learning (ML) systems.
• Experience with ML accelerators (e.g., having worked on ML software models or accelerator architectures).
• Experience writing ML algorithms for e.g., recommendation systems, Natural Language Processing (NLP), image and vision.
• Experience in tooling development for power, performance and architecture analysis.
• Experience in architecting and optimizing compilers.
• Understanding of compiler flows, software involved in translating a high-level language (e.g., TensorFlow) to hardware instructions.