SambaNova
Compiler Engineer - New Grad
$131K–$197K
Austin, Texas, United States +3 · Entry level · Full-time · Posted Oct 27, 2026
- Location
- Austin, Texas, United States
San Jose, California, United States
Austin, Texas, United States
San Jose, California, United States - Education
- B.S. in Computer Science, Electrical Engineering, Computer Engineering, or related field; M.S. or Ph.D. preferred.
About the job
Develop and optimize compiler components that lower machine learning models and map operations onto SambaNova’s RDU accelerator.
What you'll do
- Implement and optimize compiler IR passes; lower and partition machine learning models for the RDU.
- Develop tensor tiling and on-chip memory management, and map operations onto the RDU fabric.
- Debug compiler and performance issues using C++ and Python, working with runtime and hardware teams.
What they ask for
- B.S. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- Experience in machine learning systems development, such as ML compilers, LLM inference kernels, or kernel generation.
- Strong programming skills in Python and C/C++.
- Experience programming GPUs or other AI accelerators.
Nice to have
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- Experience with MLIR or StableHLO, LLM kernel libraries, machine learning systems research, open-source contributions, or AI agent-driven tools and automation.
Pay
$131,200 — $196,800 USD base salary
Tools
C++, Python, MLIR, StableHLO
AI focus
Build compiler infrastructure for machine learning model execution on the RDU, including lowering, partitioning, tiling, memory management, and operation mapping.
Model-written summary · the original posting is authoritative