Senior ML Software Engineer - Embedded AI for Edge Devices

MaC VC; San Diego (CA); On-site; USD 141,000 - 211,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking an embedded software engineer to design, implement and verify software across audio, camera, graphics and sensor subsystems on ARM-based and other embedded hardware.

The role includes optimization of ML kernels and working with ML frameworks like TensorFlow or PyTorch to run algorithms efficiently on targeted hardware. Master's degree in Electrical/Computer Engineering or Computer Science is required, with collaboration across hardware and software teams

Qualifications

• Design, implement and verify software for embedded HW
• Experience with ARM or DSP/GPU embedded platforms
• Strong participation in design reviews and project meetings

Responsibilities

• Plan and execute software design for audio, camera, graphics and sensors subsystems
• Optimize ML kernels and ML frameworks for HW features
• Collaborate with HW teams to validate deliverables and improve tooling

Skills

C/C++

Python

Embedded systems

Machine Learning

Education

Master's degree in EE/CE/CS

Tools

TensorFlow

PyTorch

Job description

Qualcomm Technologies, Inc. is seeking an embedded software engineer to design, implement and verify software across audio, camera, graphics and sensor subsystems on ARM-based and other embedded hardware.

The role includes optimization of ML kernels and working with ML frameworks like TensorFlow or PyTorch to run algorithms efficiently on targeted hardware. Master's degree in Electrical/Computer Engineering or Computer Science is required, with collaboration across hardware and software teams