Senior ML Engineer - Edge AI & Compiler Tech

QUALCOMM, Inc.; Santa Clara (CA); On-site; USD 151,000 - 227,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to build and refine ML compiler tech that turns PyTorch/ONNX models into efficient code for CPU, GPU, and NPU devices.

You will collaborate with cross-functional teams to advance ML frameworks and solutions for mobile, edge, auto, and IoT products. The role emphasizes strong Python and C++, experience with compiler stacks, and the ability to contribute to CI/CD pipelines, performance optimizations, and on-device deployment

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field with 2+ years of hardware, software or systems engineering experience.
• Master's degree in CS/Engineering/IS with 1+ year related experience.
• PhD in CS/Engineering/IS is also acceptable.

Responsibilities

• Build and maintain ML compiler technologies that convert models (from PyTorch/ONNX) into efficient device code (CPU/GPU/NPU).
• Contribute to AI hub compiler, ONNX Runtime QNN, with graph optimization and backends compatibility.
• Develop debugging tools to diagnose failures, accuracy loss, or slowdowns with clear diagnostics.
• Mentor teammates and provide technical guidance on compiler topics.
• Explain complex compiler ideas to chip engineers, partners, and external developers.

Skills

Communication

Git

Software engineering practices

Mentoring

Education

Bachelor's degree in CS/Engineering/IS

Master's degree in CS/Engineering/IS

PhD in CS/Engineering/IS

Tools

MLIR

ONNX

TVM

PyTorch

LiteRT

ExecuTorch

ONNXRuntime

QAIRT

QNN

Job description

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to build and refine ML compiler tech that turns PyTorch/ONNX models into efficient code for CPU, GPU, and NPU devices.

You will collaborate with cross-functional teams to advance ML frameworks and solutions for mobile, edge, auto, and IoT products. The role emphasizes strong Python and C++, experience with compiler stacks, and the ability to contribute to CI/CD pipelines, performance optimizations, and on-device deployment