Engineer, AI Software/Machine Learning (C++)

Qualcomm; Markham; On-site; CAD 100,000 - 149,000; Full time

Job summary

Qualcomm Canada ULC is seeking an experienced engineer to build high-performance C++17 software for Hexagon processors and embedded systems. You will design, optimize, and debug ML-related operations and model analysis tools across Android, embedded Linux, and QNX environments.

The role emphasizes cross-team collaboration, performance tuning, and contributing to Qualcomm AI Stack with bleeding-edge on-device AI capabilities.

Qualifications

• Bachelor’s degree in CS/Engineering or related field.
• 3+ years of relevant work experience.
• Experience with modern C++17 language features.
• Background in mathematical algorithms using fast math libraries and vector instructions.
• Experience developing middleware or firmware software.
• Experience with multitasking/multithreading driver development.
• Experience with Hexagon DSP SDK or cross compiler toolchains.
• Familiarity with TensorFlow, PyTorch or ONNX.
• Experience with Git, Linux, JIRA and Docker.
• Knowledge of design patterns.

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 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.

Skills

C++17

Multithreading

Mathematical algorithms

Middleware/firmware software

Design patterns

TensorFlow/PyTorch/ONNX

Education

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

Tools

Git

Linux

JIRA

Docker

Hexagon DSP SDK

Cross compiler toolchains

Job description

Company

Qualcomm Canada ULC

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

• Our team does not work in data science, build models or train models

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.

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

• 3+ years of relevant work experience
• Experience/expertise with C++, ideally 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.

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 [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). 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

$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.