Machine Learning Technology Engineer

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.

*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