Company:Qualcomm Technologies, Inc.

Job Area:Engineering Group, Engineering Group > Systems Engineering

General Summary:

You will ­­be part of IE-IOT System Performance Team in San Diego that is responsible for profiling and optimizing the Machine Learning (ML) performance on IE-IOT chipsets. In IE-IOT BU you will encounter varied ML Algorithms from LLMs and Voice AI for Voice Assisted AI Box, VLMs/VLAs for Robotics, cascaded Vision models for IP surveillance.

In IE-IOT BU we optimize a variety of ML models: GenAI, Vision AI, best in class LLMs, to state-of-the-art VLAs (vision language action models).

Qualcomm is a company of inventors that has the best on-device AI HW/SW in the industry. Qualcomm’s IE-IOT BU creates the best edge-AI solutions for Robotics, IP Cameras, Drones and on-prem Edge AI boxes. The candidate will be working with cutting edge AI research teams inside and outside Qualcomm to optimize ML performance for various customers.

Responsibilities include:

Work with world renowned customers from various fields like robotics, at home devices, drones, IP cameras, enterprise solutions and understand their ML needs.

Bring-up existing network models on Qualcomm chipsets, debug, optimize and validate the performance of Deep Learning hardware accelerators and DSP blocks.

Correlate the ML performance measurements with projections and collaborate closely with global teams on systems performance characterization and tuning overall performance of CPU, GPU, DDR and DSP along with thermal\power tradeoffs.

Enable and validate various profiling tools on ARM CPUs, DDR and DSP.

Study the performance impact on networks during complex concurrencies and identify any bottlenecks.

Design and support in developing Automation for ML benchmarks\testcases using Python.

Work with Pre-Silicon teams for performance projections on ML networks and studying key industry benchmark/implementation options.

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.

Preferred Qualifications:

12+ years of industry System  and Software experience in the following:

Knowledge of Linux and/or Android  infrastructure and development tools, understanding of kernel vs user space, basic knowledge of compilers, running scripts, git source code control, gerrit work flowsHands-on experience debugging hardware, software and embedded systems. Experience profiling and optimizing software for ARM CPUs and/or GPU applications a plus.5+ of experience in ML development\performance tuning.

Additional skills in the following areas are preferred:

Hands-on experience running neural network models with Deep Learning frameworks such as SNPE, Keras, Caffe/Caffe2, TensorFlow, PyTorch, etc Experience debugging and evaluating performance/accuracy a plus.Knowledge on Computer architecture or bus profiling is plus.Fundamentals of operating system like Linux/Android & experience working on any IE-IOT applications.Experience and understanding of a variety Neural Network (NN) architectures including convolution neural networks, segmentation networks, neural machine translation, and recommender systems.Ability to adapt implementations to virtualization solutions and platforms.Experience in implementing Automation scripts using Perl or Python.Experience in doing competitive analysis on ML platforms is plus.

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 disability-accomodations@qualcomm.com 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.

 

Pay range and Other Compensation & Benefits:

$207,600.00 - $311,400.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.