Engineering Group, Engineering Group Machine Learning Engineering As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs.

Qualcomm

Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Replacement Position

Development and evolution of ML/AI compilers (production and exploratory versions) for efficient mappings of ML/AI algorithms on existing and future HW Analysis of ML/AI algorithms and workloads to drive future features in Qualcomm’s ML HW/SW offerings Contributing to the development and evolution of ML/AI compilers within Qualcomm Defining and implementing algorithms for compiling ML/AI workloads to achieve high performance and low power on Qualcomm HW Creating and implementing algorithms that couple PyTorch framework efficiently to Qualcomm ML/AI Compiler flows. Understanding trends in ML network design, through customer engagements and latest academic research,



and how this affects both SW and HW design Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs Pre-Silicon prediction of performance for various ML algorithms Running, debugging and analyzing performance simulations to suggest enhancements to Qualcomm hardware and software to tackle framework, compute and system memory-related bottlenecks Successful applications will work in cross-site, cross-functional teams Strong background in algorithm development and performance analysis is essential The following experience would be significant assets Strong knowledge of C++ Strong knowledge of Python Experience in compiler design and development is an asset Knowledge of network model formats/platforms (eg. Pytorch, ONNX) is a strong asset.

Knowledge of software development processes (revision control, CD/CI, etc.) · On-silicon debug skills of high-performance compute algorithms · Knowledge of algorithms and data structures Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.



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] 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. 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. 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 advantages package is designed to support your success at work, at home, and at play. #

📌 Machine Learning Engineer - Python (Markham)
🏢 Qualcomm
📍 Markham