Edge ML Inference Engineer

Qualcomm; San Diego (CA); On-site; USD 123,000 - 184,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to create and implement ML techniques, frameworks, and tools that enable efficient discovery and utilization of state-of-the-art ML solutions across mobile, edge, auto, and IoT platforms.

You will collaborate with cross-functional teams to advance hardware-software integration and scale ML workloads on diverse Qualcomm designs, from edge devices to autonomous platforms.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities

• Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Models, architects, and develops highly advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Develops critical optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
• Leads the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and system-level features.
• Oversees and provides technical expertise to others conducting experiments to train and evaluate machine learning solutions.

Skills

Machine learning expertise

Strong communication

Education

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

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

PhD in Computer Science, Engineering, Information Systems, or related field

Tools

TensorFlow

Caffe

PyTorch

Keras

Linux

Android

QNX

Embedded systems development

Python

C

C++

Job description

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to create and implement ML techniques, frameworks, and tools that enable efficient discovery and utilization of state-of-the-art ML solutions across mobile, edge, auto, and IoT platforms.

You will collaborate with cross-functional teams to advance hardware-software integration and scale ML workloads on diverse Qualcomm designs, from edge devices to autonomous platforms.