| Company | Waymo |
| Job title | 2025 Summer Intern, MS/PhD, Machine Learning Hardware Engineer |
| Job location | Mountain View, California, United States |
| Type | Full Time |
Responsibilities:
- Develop a novel co-simulation and verification methodology for ML accelerator pipelines
- Explore automated stimulus generation with constraint solvers, fuzz testing, formal techniques, and AI-generated test cases
- Profile, understand, and optimize simulator performance to speed up run times
- Gain deep knowledge of the microarchitecture and ISA of a state-of-the-art ML accelerator
Requirements & Skills:
- Enrolled in a Master’s program in Electrical Engineering, Computer Engineering, or equivalent
- Excellent knowledge of computer architecture and microarchitecture
- Proficiency in digital system design using SystemVerilog or other languages
- Software development experience with proficiency in C++ for modeling and verification of digital systems
We prefer:
- Enrolled in a PhD program in Electrical Engineering, Computer Engineering, or equivalent
- Experience with higher-level languages for digital design, such as Chisel, HLS, and Python-based HDLs
- Experience with RTL simulation using Verilator
- Experience with CPU performance profiling
