Senior Embedded Software Engineer (C/C++), Machine Learning

Qualcomm; Markham; On-site; CAD 98,640 - 164,400; Full time

Job summary

Qualcomm Canada ULC is seeking an engineer to deploy ML models on a low power AI accelerator. You will map high level operators to hardware instructions, optimize graphs, schedule tasks, plan memory and implement operators with quantization.

The role focuses on improving inference efficiency and accuracy on Qualcomm's hardware, requiring C/C++ proficiency, Linux/Android experience, and embedded hardware familiarity.

Qualifications

• Bachelor's degree with 2+ years of related work experience or higher; or Master's with 1+ year; or PhD.
• Master's degree preferred in a related field.
• Experience with ML frameworks (TensorFlow, PyTorch, etc.) is a plus.

Responsibilities

• Apply ML knowledge to extend training or runtime frameworks for efficiency.
• Architect and develop ML hardware co-designs for inference/training.
• Develop optimized software for ML models on Qualcomm hardware.
• Collaborate with team for joint design and development.
• Apply ML techniques to products/AI solutions for customers.
• Prototype complex ML algorithms with guidance from senior engineers.

Skills

C/C++

Performance optimization

Linux/Android development

Embedded hardware

ML knowledge

Education

Bachelor's degree in Computer Science/Engineering/IS

2+ years in Hardware/Software/Systems Eng

PhD in related field

Job description

Qualcomm Canada ULC

Engineering Group > Machine Learning Engineering

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.

General Summary:

New Position

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 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.

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 [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:

$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.