Senior ML Compiler Engineer — Edge AI On-Device

Qualcomm

Santa Clara (CA)

On-site

USD 151,000 - 227,000

Full time

14 days+

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Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to create and optimize ML compiler technologies that translate PyTorch/ONNX models into efficient code for CPU, GPU, and NPU devices.

You will work with cross-functional teams to advance ML frameworks across Qualcomm platforms. The role requires strong Python and C++ skills, experience with ML compiler concepts, and familiarity with MLIR/ONNX/TVM stacks.

Qualifications

Bachelor's degree in CS/Engineering or related field with 2+ years of relevant work experience
Master's degree in CS/Engineering or related field with 1+ year of relevant work experience
PhD in CS/Engineering or related field
Proficient in Python and C++
Solid understanding of ML compiler concepts and experience with MLIR/ONNX/TVM

Responsibilities

Build & maintain machine learning compiler technologies that turn AI models into efficient device code
Contribute to AI hub compiler, ONNX Runtime QNN optimization and cross-backend compatibility
Build debugging tools to diagnose accuracy loss or slowdowns with clear diagnostics
Mentor teammates and provide technical guidance
Explain complex compiler ideas clearly to chip engineers and partners