Nathan Zhang, Ph.D.

Principal Compiler Engineer

Experience

Principal Compiler Engineer

2024 - Present
SambaNova Systems

Leading the evolution of the CUDA-equivalent stack, including IR design, solver-based optimizations (Z3), and hardware-software co-design for next-generation architectures.

Graduate Student Researcher

2017 - 2024
Stanford University

Pioneered Streaming Tensor Interfaces and the DAM simulator. Designed IR abstractions for dynamic parallelism (STeP) and fusion mechanisms (FuseFlow).

Student Researcher / SWE Intern

2016 - 2020
Google

Accelerated lattice regression training via Cloud Dataflow and authored a pilot low-level C compiler for the Pixel Visual Core.

Education

Ph.D. in Computer Science

2017 - 2024
Stanford University

B.S. in Electrical Engineering and Computer Science

2014 - 2017
University of California, Berkeley