Quadric
Deep Learning Compiler Intern
Burlingame, CA (HQ) · On-site · Internship · Posted Oct 23, 2026
- Education
- Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.
- Visa sponsorship
- Quadric participates in E-Verify to confirm employment eligibility for U.S.-based roles.
About the job
Works on Quadric’s neural network compiler, implementing and debugging compiler passes that generate efficient code for its GPNPU hardware.
What you'll do
- Develop compiler passes that lower neural network IR to GPNPU-targeted code, and trace compilation issues through generated C++ and the compiler pipeline.
- Help optimize compiler decisions to reduce data movement and increase core utilization.
- Contribute to test infrastructure and debugging tools, collaborating with kernel, hardware, and data science teams.
What they ask for
- Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.
- Strong proficiency in Python and C++.
- Foundational understanding of compiler concepts, including intermediate representations, dataflow analysis, and transformation passes.
- Comfort working in large, unfamiliar codebases; problem-solving, debugging, and clear technical communication skills.
Nice to have
- Coursework or project experience with compilers, program analysis, or domain-specific languages; exposure to ML compiler frameworks such as TVM, MLIR, XLA, Glow, or IREE.
- Familiarity with neural network quantization, fixed-point arithmetic, numerical analysis, accelerator code generation, or assembly.
Pay
$50-57/hr USD hourly salary
Tools
Python, C++, TVM, MLIR, XLA, Glow, IREE
AI focus
Builds and optimizes a compiler that maps neural networks to Quadric GPNPU hardware.
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