Qualcomm Canada ULC
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 to enables OEMs and developers to run their Machine Learning workloads on Qualcomm's low-power AI accelerators. Your work will directly impact the runtime efficiency, latency, and power consumption of AI applications running on Qualcomm hardware deployed on cars, notebook computers, phones, and wearables. Come join us to work on bleeding edge AI technology.
Note: This is not a data science position.
New Head count
Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Duties and Responsibilities:
- Design and implement core components of the ML runtime framework for inference on embedded systems, operating in low power, small memory footprint platforms
- Develop and maintain C/C++ code for runtime kernels and system-level integration
- 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
- Debug customer machine learning use cases executing on Qualcomm AI Stack
- Communication across globally diverse team
- Participate in software quality process improvements
Preferred Qualifications:
- Eight or more years of relevant work experience
- Experience with modern C++17 language features
- 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
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 [email protected] 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.
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Pay range and Other Compensation & Benefits:
$114,400.00 - $164,400.00
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.
If you would like more information about this role, please contact Qualcomm Careers .
