Staff Machine Learning Software Engineer

Qualcomm; San Diego (CA); Presencial; USD 158 000 - 238 000; Tempo integral

Resumo da oferta

Qualcomm Technologies, Inc. in San Diego, CA is seeking an engineer to design, implement and verify embedded software for mobile, edge and IoT products. You will optimize ML kernels and work closely with hardware teams to harness ARM and other processors.

The role requires a Master’s degree in EE/CE/CS and at least 3 years of related experience, with strong C/C++ and Python skills. You will participate in design reviews and drive performance improvements across OSs.

Qualificações

• Master's degree and 3 years of related experience.
• Strong C/C++ and Python programming skills.
• Experience with embedded software on ARM/DSP/GPU hardware.
• Ability to design, implement and verify software across OSs.

Responsabilidades

• Design, implement and verify embedded software for mobile/edge/IoT platforms.
• Develop optimized software and ML kernels for hardware features.
• Collaborate with hardware teams and optimize performance.
• Participate in design reviews and project planning.

Conhecimentos

C/C++

Python

Embedded software

Machine Learning

ARM processors

Performance optimization

TensorFlow

PyTorch

Formação académica

Master's degree in EE/CE/CS

Ferramentas

TensorFlow

PyTorch

Descrição da oferta de emprego

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

This individual leads, plans, synthesizes ambiguous or conflicting requirements and performs the complex responsibility of 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 algorithms 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 and communicates and implements a development plan.

Will accept a Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field and three (3) years of experience in a related occupation.

Pay Range:

$158,400.00 - $237,600.00/year

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.