Senior ML Engineer - Graph Optimizations & ONNX (Onsite)

Qualcomm; San Diego (CA); On-site; USD 140,800 - 211,200; Full time

Benefits offered by this job

Competitive annual discretionary bonus

Annual RSU grants

Highly competitive benefits package

Job summary

Qualcomm in San Diego is looking for a Machine Learning Engineer to implement graph optimization passes and develop AI solutions. The role emphasizes collaboration with engineering teams and requires experience in ML systems and Python programming.

The position offers a competitive salary range of $140,800.00 – $211,200.00, along with bonuses and a robust benefits package designed to support employee well-being and success.

Qualifications

• 4+ years in Software Engineering, ML Engineering, or related experience.
• Experience in ML systems, model optimization, or inference engineering.
• Proficient in Python in large, typed codebases.

Responsibilities

• Implement new ONNX graph optimization passes.
• Write match logic that identifies specific subgraph shapes.
• Validate transformations end-to-end using ONNX Runtime.

Skills

ML systems

Model optimization

Python programming

Graph algorithms

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, or related field

Master's degree in Computer Science, Engineering, or related field

PhD in Computer Science, Engineering, or related field

Tools

ONNX Runtime

PyTorch

Job description

Qualcomm in San Diego is looking for a Machine Learning Engineer to implement graph optimization passes and develop AI solutions. The role emphasizes collaboration with engineering teams and requires experience in ML systems and Python programming.

The position offers a competitive salary range of $140,800.00 – $211,200.00, along with bonuses and a robust benefits package designed to support employee well-being and success.