Graduate ML Hardware Verification Engineer
Core
Develop simulation testbenches, investigate hardware failures, analyze coverage data, and build automation tools to verify neural accelerators for machine learning applications.
Role type
Graduate hardware verification engineer (ML hardware)
Builds
Simulation testbenches, verification flows, and automation tools for Arm neural accelerators
Domain
Semiconductor hardware verification / Machine Learning hardware
Deliverable
production ML models
Required skills
Digital hardware knowledge, Hardware description languages, Object-oriented programming, Computer architecture, Simulation testbench development, Coverage analysis
Preferred skills
Experience with digital hardware projects, Software frameworks, Computer architecture projects
Technologies
Hardware description languages, Simulation environments
Responsibilities
Turn specifications into tests, develop simulation testbenches, investigate failures, analyze coverage data, build verification automation tools
Seniority
Graduate, entry-level IC
