Senior ML Engineer: Hardware-Software Co-Design

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

Benefits offered by this job

Annual RSU grants

Discretionary bonus

Benefits package

Job summary

Qualcomm Technologies, Inc. seeks a Machine Learning Engineer to create and implement ML techniques, frameworks, and tools for efficient discovery and utilization of state-of-the-art ML solutions across multiple verticals or designs.

You will collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products via ML hardware and software integration and optimization.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field with 6+ years of experience; master's degree with 5+ years; PhD with 4+ years.
• Master's/PhD preferred for advanced ML leadership and system-level optimization.
• Experience with ML frameworks and low-level OS interactions required.

Responsibilities

• Leverages advanced ML knowledge to extend training/runtime frameworks and model efficiency tools.
• Develops ML hardware/software solutions for inference or training.
• Leads ML technique adoption in products and AI solutions.

Skills

Machine learning

Python

C++

Linux

Embedded systems

Statistics

System optimization

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/Engineering

PhD in CS/Engineering

Tools

TensorFlow

PyTorch

Caffe/Caffe2

Keras

Linux

QNX

Job description

Qualcomm Technologies, Inc. seeks a Machine Learning Engineer to create and implement ML techniques, frameworks, and tools for efficient discovery and utilization of state-of-the-art ML solutions across multiple verticals or designs.

You will collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products via ML hardware and software integration and optimization.