Edge AI Compiler Intern: Map DL Models to GPNPU

quadric, Inc

Burlingame (CA)

On-site

USD 69,000 - 79,000

Full time

7 days ago
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Benefits offered by this job

Catered lunch
Downtown Burlingame office
Innovative disruption culture

Job summary

Quadric is redefining edge AI in Burlingame. This Deep Learning Compiler Intern role works with senior engineers on CGC to lower neural networks to code for the Chimera GPNPU.

You will gain hands-on experience designing IR transformations and debugging generated C++ that runs on Quadric silicon. The role emphasizes diagnosing compilation issues, optimizing code paths, and collaborating with kernel, hardware, and data science teams to align compiler features with hardware constraints.

Qualifications

  • 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: intermediate representations, dataflow analysis, and transformation passes.
  • Comfort reading and reasoning about large, unfamiliar codebases.
  • Demonstrated capability in problem-solving, debugging, and clear technical communication.

Responsibilities

  • Develop & Implement compiler passes that lower neural network IR to GPNPU-targeted code.
  • Analyze & Debug compilation issues by tracing problems from generated C++ back through the pipeline.
  • Code Optimization with senior engineers to reduce data movement and increase core utilization.
  • Collaborate with kernel, hardware, and data science teams to align features with model requirements.
  • Toolchain Contribution to test infrastructure, debugging utilities, and developer ergonomics.

Skills

Python
C++

Education

Bachelor's/Master's/PhD in CS/EE or related field

Tools

TVM
MLIR
XLA
Glow
IREE

Job description

Quadric is redefining edge AI in Burlingame. This Deep Learning Compiler Intern role works with senior engineers on CGC to lower neural networks to code for the Chimera GPNPU.

You will gain hands-on experience designing IR transformations and debugging generated C++ that runs on Quadric silicon. The role emphasizes diagnosing compilation issues, optimizing code paths, and collaborating with kernel, hardware, and data science teams to align compiler features with hardware constraints.

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