Senior ML Software Engineer — Embedded AI for Edge Devices

Qualcomm; Boulder (CO); On-site; USD 127,000 - 190,000; Full time

Job summary

Qualcomm Technologies, Inc. in Colorado Boulder is seeking an embedded software engineer to design, implement and verify software for ARM-based embedded hardware, enabling audio, camera, graphics, video, sensors and wireless features across mobile and IoT devices.

You will optimize performance, integrate tooling, and potentially work with ML frameworks such as TensorFlow or PyTorch, collaborating with HW teams to maximize hardware features.

Qualifications

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

Responsibilities

• Plan, design, implement and verify software for embedded hardware on ARM processors and other embedded CPUs.
• Perform integration, testing and performance optimization for embedded software subsystems.
• Develop optimized software, such as ML kernels or compilers, to exploit HW features.
• Work with ML frameworks like TensorFlow or PyTorch to run ML algorithms on hardware.
• Coordinate dependencies with other teams and contribute at design reviews and meetings.

Skills

C/C++

Python

Education

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

Tools

TensorFlow

PyTorch

Job description

Qualcomm Technologies, Inc. in Colorado Boulder is seeking an embedded software engineer to design, implement and verify software for ARM-based embedded hardware, enabling audio, camera, graphics, video, sensors and wireless features across mobile and IoT devices.

You will optimize performance, integrate tooling, and potentially work with ML frameworks such as TensorFlow or PyTorch, collaborating with HW teams to maximize hardware features.