Senior Machine Learning Software Engineer

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

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

Pay Range:

$126,700.00- $190,100.00/year

General Summary:

• This individual independently plans, performs the moderately-defined responsibility for the designing, implementing and verification of software, typically C or C++ or Python, to enable audio, camera, graphics, video, sensors, wireless and other functionality for various operating systems running on ARM processors and other embedded HW like DSP processors, or GPU processors that are embedded into mobile, edge, auto and IOT products.
• Responsibilities include integration, testing and performance optimization for embedded software subsystems, as well as the implementation of new tools.
• Other responsibilities include developing optimized software, such as ML kernels or tools like compilers, to make use of specific HW features; and/or working closely with HW teams for joint design/development.
• This individual may need to work with and/or optimize ML software frameworks like TensorFlow or PyTorch to efficiently run ML algoarithms on HW.
• Coordinates dependencies with other teams, developing tools to improve the process, and assisting with the verification of the deliverables.
• Acts as a strong contributor at design reviews and project meetings.

Requirements:

• Will accept a Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field.

Applicants:

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

EEO Employer:

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.