AI/ML Hardware Architect, Cloud, Silicon

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.

• 4 years of experience in any one of the following areas: architecture and micro-architecture design of graphics, Machine Learning (ML), or managing low-precision or mixed-precision numerics, vector processors, DSP processors, or architecting networking ASICs.

• Experience in memory hierarchy, memory controllers, HBM, and DRAM technologies.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.

• Experience working with software teams optimizing the hardware/software interface.

• Experience in estimating performance by analysis, modeling, and network simulation in defining and driving performance test plans.

• Experience in programming languages (e.g., C++, Python).

• Knowledge of arithmetic units, bus architectures, accelerators or memory hierarchies and high performance and low power design techniques.