Machine Learning Technology Engineer

Overview

On Site
USD 138,800.00 - 208,200.00 per year
Full Time

Skills

Supervision
Management
Training
Video
Sensors
Wireless Communication
Operating Systems
ARM
Digital Signal Processing
GPU
Embedded Systems
IoT
Computer Hardware
Software Development
Machine Learning Operations (ML Ops)
System Implementation
Evaluation
Art
Research
ASIC
Process Flow
High-level Design
Place And Route
Design Review
Electrical Engineering
Computer Engineering
Computer Science
Machine Learning (ML)
Artificial Intelligence
Telecommuting
Reporting

Job Details

Company:
Qualcomm Technologies, Inc.

Job Area:
Engineering Group, Engineering Group > Machine Learning Researcher

General Summary:

This individual possesses solid engineering fundamentals and understanding with some supervision in overseeing the implementation and/or creation 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 software for inference or training solutions. These enable the discovery and improvement of state-of-the-art machine learning solutions that have general applicability at functional platform level towards audio, camera, graphics, video, sensors, wireless, ASIC design and other functionality over various operating systems running on ARM processors or 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 software development for end-to-end MLOps systems; implementation, evaluation, and extension of state-of-art research papers; participation in design reviews and project meetings; and working cross-functionally across various teams and stakeholders to define, evaluate, and execute design decisions. This individual also demonstrates ability to evaluate and understand all aspects of the ASIC process flow from high-level design to synthesis, place and route, and timing and power use. Participates at design reviews and project meetings.

Will accept a Bachelor's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science, Machine Learning/AI or related degree field.

*Telecommuting may be permitted. When not telecommuting, must report to Qualcomm's office location(s) in San Diego, CA.*

Pay Range: $138,800.00 - $208,200.00

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).

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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.
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