Engineer - Machine Learning Software

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

AI’s ability to solve complex problems across multiple domains is transformative. In the AI Software team, we build the Qualcomm AI Engine direct to enables OEMs and developers to run their deep neural network (DNN) models on Qualcomm Hexagon Processors. Our team works with OEMs and developers to develop and optimize DNN models for the Qualcomm AI Stack. We are building optimized on-device AI stack with cutting edge hardware to run deep neural networks with that phone you keep in your pocket, that car you drive, or that vacuum cleaner you unleash to clean your house. Come join us if you want to work on bleeding edge AI technology. In this position you will build high performance software for AI engines to extend our AI solutions into industry leading customer use cases. New Position

Duties and Responsibilities

Development of modern C++17 software library for Qualcomm Hexagon Processors

Design and performance tune modern C++17 code for an embedded system

Development of model analyzing tools for the internal and external customers

Use cross compiler toolchains for embedded systems such as Android, embedded Linux and QNX

Address issues found in existing and past Qualcomm AI products

Implement and optimize modern C++17 machine learning operations on Hexagon Processors

Debug customer machine learning use cases executing on Qualcomm AI Stack

Communication across globally diverse team

Participate in software quality process improvements

Preferred Qualifications:

Three or more years of relevant work experience

Experience with modern C++17 language features

Background in mathematical algorithms using fast math libraries and vector instructions sets

Practical experience with developing middleware or firmware software

Experience with multitasking and multithreading driver development

Experience with Hexagon DSP SDK or cross compiler toolchains for embedded systems

Familiarity with TensorFlow, PyTorch or ONNX

Experience with tools such as git, Linux, JIRA and Docker

Knowledge of design patterns

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

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.

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Pay range and Other Compensation & Benefits:

$99,500.00 - $149,300.00

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.

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