Staff Embedded Software Engineer (C/C++), Machine Learning
Job Summary
Job Description
- Hands-on skills and experience on performance optimization
- Proficient programming skills in C/C++
- Experience with Linux/Android development environment and tools
- Familiar with embedded/computer hardware architecture
- Experience with Machine Learning frameworks
- Experience in embedded system development
- Experience with C/C++
- Experience using statistics and probability
- Experience working in a large matrixed organization
- Experience with low level interactions between operating systems and Hardware
- Experience with senior leadership
9 skills required
Job Details
Company:
Qualcomm Canada ULCJob Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
As a member of Low Power AI solution team, you will play a critical role at deploying AI models on Qualcomm's low power AI accelerator. The position focuses on mapping high level machine learning operators to low level hardware instructions, involving various optimization techniques: graph transformation, scheduling, memory planning, individual operator implementation, quantization, etc. Your expertise at machine learning is expected to enhance inference efficiency and accuracy of different models on Qualcomm's hardware architecture.
Skills / Experience Required:
- Solid hands-on skills and experience on performance optimization.
- Proficient programming skills in C/C++
- Machine learning knowledge is a plus..
- Experience with Linux/Android development environment and tools.
- Familiar with embedded/computer hardware architecture.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, Information Systems, or related field.
- 2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
- 2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
- 2+ years of experience with C/C++, ideally at the embedded level
- 2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
- 2+ years experience working in a large matrixed organization.
- 1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
- 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Principal Duties and Responsibilities:
- Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
- Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions.
- Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
- Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
- Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.
- Conducts complex experiments to train and evaluate machine learning models and/or software independently.
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 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).
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.
If you would like more information about this role, please contact Qualcomm Careers.
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