Overview
On Site
USD 177,154.00 - 238,700.00 per year
Full Time
Skills
Art
Video
Sensors
Wireless Communication
Operating Systems
ARM
Digital Signal Processing
GPU
Embedded Systems
IoT
Artificial Intelligence
TensorFlow
PyTorch
Machine Learning (ML)
Algorithms
Computer Hardware
Design Review
Electrical Engineering
Computer Engineering
Computer Science
Training
Telecommuting
Reporting
Job Details
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Researcher
General Summary:
This individual independently plans, performs the moderately-defined responsibility for the creating of advanced machine learning techniques that enable a broad set of technology verticals or designs and extends training or runtime frameworks or model efficiency software tools with new features and optimizations. This individual may also model, architect, and develop advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions. These enable the discovery and improvement of state-of-the-art machine learning solutions that has general applicability at functional platform level towards audio, camera, graphics, video, sensors, wireless, and other functionality over various operating systems running on ARM processors and other embedded hardware like DSP/NSP processors, GPU processors that are embedded into mobile, edge, auto, and IOT products, or on data center based systems such as GPUs or dedicated AI hardware. Other responsibilities include developing optimized software to enable AI models efficiently deployed on hardware, such as machine learning kernels, compiler tools, or model efficiency tools, to make sure of specific hardware features, and/or working closely with hardware teams for joint design and development. In this regard, the individual may need to work with and/or optimize machine learning software frameworks like TensorFlow or PyTorch to efficiently run machine learning algorithms on hardware. Act as a strong contributor at design reviews and project meetings.
Will accept a Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field. Will also accept a Bachelor's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field and five (5) years of progressive experience in a related occupation. Employer will accept any suitable combination of education, training or experience.
*Telecommuting may be permitted. When not telecommuting, must report to Qualcomm's office location(s) in San Diego, CA.*
Pay Range: $177,154.00 - $238,700
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 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).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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.
If you would like more information about this role, please contact Qualcomm Careers.
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Researcher
General Summary:
This individual independently plans, performs the moderately-defined responsibility for the creating of advanced machine learning techniques that enable a broad set of technology verticals or designs and extends training or runtime frameworks or model efficiency software tools with new features and optimizations. This individual may also model, architect, and develop advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions. These enable the discovery and improvement of state-of-the-art machine learning solutions that has general applicability at functional platform level towards audio, camera, graphics, video, sensors, wireless, and other functionality over various operating systems running on ARM processors and other embedded hardware like DSP/NSP processors, GPU processors that are embedded into mobile, edge, auto, and IOT products, or on data center based systems such as GPUs or dedicated AI hardware. Other responsibilities include developing optimized software to enable AI models efficiently deployed on hardware, such as machine learning kernels, compiler tools, or model efficiency tools, to make sure of specific hardware features, and/or working closely with hardware teams for joint design and development. In this regard, the individual may need to work with and/or optimize machine learning software frameworks like TensorFlow or PyTorch to efficiently run machine learning algorithms on hardware. Act as a strong contributor at design reviews and project meetings.
Will accept a Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field. Will also accept a Bachelor's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field and five (5) years of progressive experience in a related occupation. Employer will accept any suitable combination of education, training or experience.
*Telecommuting may be permitted. When not telecommuting, must report to Qualcomm's office location(s) in San Diego, CA.*
Pay Range: $177,154.00 - $238,700
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 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).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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.
If you would like more information about this role, please contact Qualcomm Careers.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.