Quadric Dot I O Inc

Deep Learning Compiler Engineer (New Grad)

Burlingame, California, United States · Internship

Sponsorship not specified$120k-$160kDetected 77 days ago

PythonC++Machine LearningDeep LearningData ScienceElectrical EngineeringSignal ProcessingResearchCollaborationProblem Solving

About the role

As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural network compiler that lowers ONNX models through Relay IR down to C++ targeting the Chimera GPNPU.
This is a hands-on engineering role on a small, senior team.
The ramp is steep, the codebase is large, and the feedback loop from your changes to running silicon is short.

You will own work in real compiler passes - layout selection, memory allocation, operator splitting, code generation - and your changes will ship into the code that runs on Quadric silicon.
You will design IR transformations, debug the C++ the compiler emits, and drive how efficiently neural networks map to our hardware.
Note: We strongly prefer candidates located in the California Bay Area, or willing to relocate to the California Bay Area and regularly collaborate from our Burlingame office.
Design and implement IR transformations that lower neural network IR to GPNPU-targeted code.
Take pieces of the pipeline as yours and maintain them.
Collaborate across teams.
Partner with the kernel, hardware, and data science teams to align compiler features with real model requirements and hardware constraints.
We are a collaborative team focused on building something extraordinary in the edge computing space.

Experience with hardware-aware code generation for accelerators (GPU, DSP, NPU).

Hands-on exposure to ML compiler frameworks such as TVM, MLIR, XLA, Glow, or IREE - bonus if you have written a non-trivial pass.
Unlike other neural engines in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
The Role As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural network compiler that lowers ONNX models through Relay IR down to C++ targeting the Chimera GPNPU.

From time to time, the team and company gather for onsite meetings and offsite events.
These in-person moments are an important part of how we build relationships, collaborate effectively, and align on priorities, and participation is expected for all team members.
At Quadric, we value Integrity, Humility, and Happiness.

This listing is sourced directly from Quadric Dot I O Inc's careers page and normalized into a canonical job model.