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Quadric

GPNPU hardware and software for ML

Software Engineer Intern - Compiler

Software EngineeringPosted on Apr 28
Internship · Summer 2026Burlingame, CA, USA$45 - $60 /hr

About the Job

Requirements

  • 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: Help build and extend compiler passes that lower neural network IR to GPNPU-targeted code.
  • Analyze & Debug: Diagnose compilation issues by tracing problems from generated C++ back through the pipeline. Use IR dumps and static analyses to investigate compilation failures and performance regressions.
  • Code Optimization: Work alongside senior engineers to improve compiler decisions to reduce data movement and increase core utilization.
  • Collaborate: Partner with the kernel, hardware, and data science teams to align compiler features with real model requirements and hardware constraints.
  • Toolchain Contribution: Contribute to test infrastructure, debugging utilities, and developer ergonomics across the CGC pipeline and runtime.

Desired Qualifications

  • 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, or numerical analysis.
  • Experience with hardware-aware code generation for accelerators (GPU, DSP, NPU).
  • Some exposure to assembly or low-level code generation.
  • Previous internship experience in compilers, ML systems, or performance engineering.

About the Company

Quadric

GPNPU hardware and software for ML

Quadric.io provides an integrated hardware-software platform for ML on System-on-Chips, centered on its Chimera General-Purpose Neural Processing Unit (GPNPU). Developers write ML code in C, which is compiled by the Chimera LLVM C Compiler, simulated with the Chimera Instruction Set Simulator (ISS), and deployed via a Software Development Kit (SDK) that supports design, profiling, and execution on Chimera. The solution is a single, end-to-end pipeline that eliminates the need to partition code across DSPs/GPUs and CPUs, offering tightly integrated hardware and software tools that can run a wide range of C-based neural-network operations. Quadric.io aims to simplify and accelerate the design of ML-enabled SoCs for semiconductor developers and manufacturers, enabling faster time-to-market and better ML performance through its cohesive hardware-software stack.

Company size
51-200
Company stage
Series C
Total funding
$94.3M
Headquarters
Burlingame, CA
Founded
2017

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