CPU AI Architecture and Performance Architect at Google

Join Google as a CPU AI Architecture and Performance Architect and play a pivotal role in shaping the future of Silicon technology. This position is ideal for someone with a strong background in Electrical Engineering, Computer Engineering, or Computer Science, combined with in-depth experience in high-performance CPUs, DSPs, and AI systems.

Minimum Qualifications

- Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 6+ years of industry experience focusing on high-performance CPU, DSP, AI architecture, microarchitecture, performance, or design.
- Proven experience in performance modeling, analysis, correlation, and workload characterization.
- Proficiency in C/C++ and scripting languages such as Python.

Preferred Qualifications

- PhD in Electrical Engineering, Computer Engineering, or Computer Science, with a focus on computer architecture or machine learning.
- Expertise in leading CPU, DSP, or AI microarchitecture exploration, performance model development, and performance analysis.
- Familiarity with processor instruction set architectures (e.g., ARM, RISC-V, x86).
- Knowledge of system software components including Linux, drivers, and runtime.
- Excellent communication skills in English, capable of collaborating with US or EMEA teams.

About the Job

As a CPU-AI Architecture and Performance Architect, your main responsibilities will include enhancing processor instruction set architectures, developing innovative microarchitecture features, and delivering cutting-edge SoC products for Google. You will collaborate with teams across Google, including Android applications and AI, to plan and conduct performance analysis and benchmarking across various design phases.

Responsibilities

- Plan and evaluate ARM’s architecture features from architectural and performance perspectives.
- Create and iterate on performance models for in-depth performance analysis and microarchitecture studies.
- Define and draft CPU-AI micro-architecture specifications.
- Lead collaboration efforts with RTL, design verification, and physical design teams to craft high-performance and efficient CPU-AI implementations.
- Drive performance correlations between performance models and RTL implementations, including micro-benchmark development and pre-silicon and post-silicon performance bug triage.

Additional Information

Company: Google
Job Title: CPU AI Architecture and Performance Architect, Silicon

We invite you to apply today to this exciting opportunity at Google, where you will challenge the boundaries of technology and innovation every day!