Graduate ML Hardware Modelling Engineer
Core
Develop and build new features for next-generation NPU hardware modelling platforms and assess their performance.
Role type
Graduate Machine Learning Hardware Modelling Engineer
Builds
Next-generation NPU development on HW modelling platform
Domain
Semiconductor hardware design and Machine Learning
Deliverable
production ML models
Required skills
C, C++ programming, SystemC, HLS flows, HW build and modelling, Machine Learning applications and frameworks, signal processing, control systems
Preferred skills
Source control (Git, Gerrit, Repo), agile SW development methods
Technologies
SystemC, HLS, Git, Gerrit, Repo
Responsibilities
Develop and build new features for HW modelling platform, assess performance, collaborate with ML HW design and verification teams, support compiler team for efficient HW execution, maintain model as external deliverable, deliver well-tested high-quality code, debug problems and assist development
Seniority
Graduate
