toronto, on sr. software engineer | qualcomm ai runtime for low power ai Jobs – 3 Openings This Week

Sr. Software Engineer | Qualcomm AI Runtime for Low Power AI
Qualcomm —Markham, ON
- $114,400–$164,400 a year
- Computer science
- Doctoral degree
- Computer Science
Sr. Staff Software Engineer | QC AI Runtime
Qualcomm —Markham, ON
- Computer science
- Doctoral degree
- Computer Science
Sr Embedded Machine Learning Engineer
Qualcomm —Markham, ON
- $114,400–$164,400 a year
- Computer science
- Doctoral degree
- Computer Science

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Sr. Software Engineer | Qualcomm AI Runtime for Low Power AI
Qualcomm —Markham, ON
Experience with multitasking and multithreading driver development. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field…
$114,400–$164,400 a year
Sr. Staff Software Engineer | QC AI Runtime
Qualcomm —Markham, ON
Contribute to the development of tools and GenAI workflows for chip design, model and system analysis. Lead new features development for Qualcomm AI Runtime SDK…

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Sr. Software Engineer | Qualcomm AI Runtime for Low Power AI
Qualcomm —Markham, ON
Experience with multitasking and multithreading driver development. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field…
$114,400–$164,400 a year
Sr. Staff Software Engineer | QC AI Runtime
Qualcomm —Markham, ON
Contribute to the development of tools and GenAI workflows for chip design, model and system analysis. Lead new features development for Qualcomm AI Runtime SDK…

Show more jobs in cities nearby

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Sr. Software Engineer | Qualcomm AI Runtime for Low Power AI

Qualcomm -
Markham, ON

Apply Now

Job details

$114,400–$164,400 a year

Qualifications

Jira
TensorFlow
Computer science
Doctoral degree
Computer Science
PyTorch
Engineering
Firmware
Git
Information Systems
Master's degree
C++
Docker
C
Bachelor's
SDKs
Systems engineering
Linux
Multithreading
Design patterns

Full job description

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 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.

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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 .

Apply Now

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sr. software engineer | qualcomm ai runtime for low power ai jobs in toronto, on

Sr. Software Engineer | Qualcomm AI Runtime for Low Power AI

Sr. Staff Software Engineer | QC AI Runtime

Sr Embedded Machine Learning Engineer

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