## FY27 Intern
- Machine Learning Compiler & Performance Engineering Intern
- Canada (16 months)Markham, Ontario, CanadaApply NowFind out how well you match with this jobJob ID: ## Company:Qualcomm Canada ULC## Job Area:Interns Group, Interns Group > Interim Engineering Intern
- Systems## Qualcomm Overview:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age
- and this is where you come in.General Summary:About QualcommQualcomm relentlessly innovates transforming businesses, enriching lives and fortifying societies. Our solutions are pivotal in crafting a smarter, interconnected world. Building on our nearly 40-year history of era-defining technology breakthroughs, we deliver leading-edge AI, high performance, lower-power computing, and unrivaled connectivity. We’re proud to be the partner of choice to many of the world’s largest enterprises. Together with our ecosystem partners, we enable next-generation digital transformation. At Qualcomm, we are engineering human progress.Join Us in Shaping the FutureAt Qualcomm, we're committed to engineering human progress by delivering intelligent computing everywhere. We're passionate about harnessing the power of technology to transform industries and improve lives. Our early career programs offer limitless opportunities for growth, mentorship, and meaningful work. By joining our team, you'll be part of a community that's pushing the boundaries of what's possible in AI, computing, and connectivity.



With a global footprint spanning over 30 countries, you'll have the chance to collaborate with diverse talent and contribute to projects that are shaping the future of technology.
Our early career programs are designed to attract inventive minds, offering a platform to contribute to our long-term innovation pipeline. You'll be part of a community that values collaboration, creativity, and continuous learning. Our programs provide real-world experience, technical skills, and professional development opportunities, empowering you to make a meaningful impact and achieve your career goals. Join us for our 2027 intern class in Markham, CanadaMaximize Your Opportunities: Our internship hiring model routes candidates from this application into multiple project specific roles. Your "Profile Visibility" choice will guide how we manage your data across our systems. To be considered for the full breadth of internship opportunities, select the option to use

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visibility preferences at any time through the Candidate Home Portal.Steps:* Log Into Your Eightfold Candidate Home Account* Hover Over The "Profile" Dropdown* Open Settings* Edit "Profile Visibility"Role OverviewAs an Intern on the Machine Learning Systems Team, you will work at the intersection of machine learning, compiler technology, and AI hardware architecture. You will collaborate closely with software, firmware, performance architecture, and hardware teams to improve the execution of state-of-the-art AI models on Qualcomm's Neural Processing Unit (NPU).
The ML Systems team focuses on two key areas:
* Development and evolution of production and next-generation ML/AI compilers for productive mapping of AI workloads to Qualcomm hardware.
* Analysis of ML/AI algorithms and workloads to help shape future Qualcomm hardware and software innovations.
The team develops and maintains production compiler technology that ships as part of the Qualcomm AI Runtime SDK and is used to accelerate AI workloads across Qualcomm platforms. In addition, the team builds and utilizes performance modeling and simulation tools to evaluate current and future AI architectures.
This role provides a unique opportunity to develop both software and hardware expertise while working with state-of-the-art AI models, including large language models (LLMs), multimodal models, computer vision networks, and generative AI workloads. Interns will gain exposure to hardware/software co-design and help evaluate tradeoffs between performance, power efficiency, memory utilization, and programmability.
To ensure a fair and consistent evaluation process, candidates are expected to complete all interviews independently. The use of generative AI tools (e.g., ChatGPT, Copilot, Claude, Gemini, or similar technologies) during interviews is not permitted unless explicitly authorized by the interviewer.Responsibilities may include:**A

📌 Intern (Markham)
🏢 QUALCOMM
📍 Markham