Senior Embedded Software Engineer (C/C++), Machine Learning Markham, Ontario, Canada Machine Learning Engineering Posted 15 hours ago

Qualcomm; Markham; Hybrid; CAD 114,000 - 164,000; Full time

Benefits offered by this job

Annual discretionary bonus

RSU grants

Comprehensive benefits package

Job summary

Qualcomm Canada ULC is seeking a skilled engineer to join the Low Power AI solution team. You will map high level ML operators to hardware instructions and optimize for inference efficiency on Qualcomm's accelerators.

The role requires strong C/C++ programming, experience with Linux/Android, and familiarity with embedded hardware. You will work on graph transformations, scheduling, memory planning, quantization, and related optimization tasks in a fast-paced environment.

Qualifications

• Bachelor's degree or higher in CS/Engineering/IS with related hardware/software experience.
• 2+ years in Hardware, Software or Systems Eng. for Bachelor's; 1+ year for Master's.
• PhD holders welcome; strong ML fundamentals and hardware awareness preferred.

Responsibilities

• Apply ML knowledge to extend training/runtime frameworks and model efficiency tools.
• Architect and develop ML hardware co-designs for inference/training solutions.
• Develop optimized software enabling ML models on hardware (kernels, compilers).
• Collaborate with team for joint design and development across ML software and hardware.
• Experiment, train, and evaluate ML models and related software independently.

Skills

Performance optimization

C/C++ programming

Linux/Android development

Embedded hardware knowledge

Education

Bachelor's degree in CS/Engineering/IS

Master's degree in CS/Engineering/IS

PhD in CS/Engineering/IS

Tools

TensorFlow

Caffe/Caffe2

PyTorch

Embedded systems development tools

Job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General 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. 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.
• 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.
• 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.

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Pay range and Other Compensation & Benefits:

• $114,400.00 - $164,400.00
• 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.

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.