ML Engineer: Model Optimization & Edge Deployment

Qualcomm; San Diego (CA); On-site; USD 158,000 - 238,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to create and implement ML techniques, frameworks, and tools for broad technology verticals, including mobile, edge, auto, and IoT settings.

You will collaborate with cross-functional teams to enhance ML-powered solutions and contribute to hardware/software co-designs for optimized inference and training across diverse platforms.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field with 4+ years of relevant work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field with 3+ years of relevant work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field with 2+ years of relevant work experience.

Responsibilities

• Leverages advanced ML knowledge to extend training or runtime frameworks and model efficiency tools.
• Develops ML hardware and software for inference or training solutions in collaboration with hardware teams.
• Creates optimized software to deploy AI models on hardware and integrates with ML kernels and compilers.

Skills

Python

R

C

C++

TensorFlow

PyTorch

Education

Bachelor's degree in CS/Engineering (4+ yrs)

Master's degree in CS/Engineering (3+ yrs)

PhD in CS/Engineering (2+ yrs)

Tools

Linux

Android

QNX

Job description

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to create and implement ML techniques, frameworks, and tools for broad technology verticals, including mobile, edge, auto, and IoT settings.

You will collaborate with cross-functional teams to enhance ML-powered solutions and contribute to hardware/software co-designs for optimized inference and training across diverse platforms.