{"id":925781,"url":"https://alion.io/job/qualcomm-fy27-intern-machine-learning-compiler-performance-engineering-intern-canada-16-months","title":"FY27 Intern - Machine Learning Compiler & Performance Engineering Intern - Canada (16 months)","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":71,"open_postings":1166,"ghost_share":0.225,"stale_share":0.125,"repost_share":0.466,"time_to_fill_p50_days":75,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Markham, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":54600,"max":103350,"currency":"CAD","period":"year","gross":null,"usd_annual":72503},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Computer Vision","optional":false},{"name":"Copilot","optional":false},{"name":"Edge AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"JAX","optional":true},{"name":"Linux","optional":true},{"name":"ONNX","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Rest-Assured","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-19T18:26:05Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":38},"description":"Company:\nQualcomm Canada ULCJob Area:\nInterns Group, Interns Group > Interim Engineering Intern - SystemsQualcomm Overview:\nQualcomm 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.\nGeneral Summary:\nAbout Qualcomm\nQualcomm 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.\nJoin Us in Shaping the Future\nAt 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.\nOur 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, Canada!\nMaximize Your Opportunities:\nOur 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 your profile data for \"Any Roles Globally\".\nIf you choose to limit your data to \"Only The Role I'm Applying For\", it will restrict the opportunity for you to be considered across matching internship opportunities.\nYou can update your profile visibility preferences at any time through the Candidate Home Portal.\nSteps:\nLog Into Your Eightfold Candidate Home Account\n\nHover Over The \"Profile\" Dropdown\n\nOpen Settings\n\nEdit \"Profile Visibility\"\n\nRole Overview\nAs 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).\nThe ML Systems team focuses on two key areas:\nDevelopment and evolution of production and next-generation ML/AI compilers for efficient mapping of AI workloads to Qualcomm hardware.\n\nAnalysis of ML/AI algorithms and workloads to help shape future Qualcomm hardware and software innovations.\n\nThe 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.\nThis 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.\nTo 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.\nResponsibilities may include:\nAnalyze and Improve Performance\nCompile and optimize neural networks for execution on Qualcomm AI accelerators\n\nAnalyze model performance and identify opportunities to improve compiler algorithms, runtime efficiency, and hardware utilization\n\nPrototype algorithms that enable AI workloads to execute with high performance and low power consumption on Qualcomm hardware\n\nIdentify bottlenecks in compute and the memory hierarchy\n\nRecommend software and hardware enhancements to improve overall system performance and efficiency\n\nCompiler and System Optimization\nContribute to Qualcomm's ML compiler stack to improve performance, efficiency, scalability, and developer productivity.\n\nExplore and prototype optimization techniques for emerging AI workloads and state-of-the-art neural network architectures.\n\nAnalyze ML workloads to help guide future hardware and software feature development.\n\nPerformance Modeling and Simulation\nDevelop performance models and simulation infrastructure using Python, C, and C++.\n\nEvaluate current and future Qualcomm AI accelerators and predict workload performance before silicon is available.\n\nMinimum Qualifications:\nProficiency in Python or C++\n\nStrong analytical, problem-solving, and debugging skills\n\nStrong written and verbal communication skills\n\nDetail-oriented with a passion for solving complex technical problems\n\nPreferred Qualifications:\nStrong knowledge of Python and/or C/C++\n\nFamiliarity with object-oriented design principles\n\nExperience with software development tools and workflows, including Git, CI/CD systems, Linux, and SSH\n\nExperience with Algorithms and Data Structures\n\nCoursework, Research, or Project Experience in one or more of the following:\nMachine learning frameworks such as PyTorch, ONNX, TensorFlow, or JAX\n\nModel optimization and deployment\n\nLarge language models (LLMs), generative AI, or multimodal AI\n\nAI accelerator architecture (NPU, GPU, DSP, or related architecture)\n\nComputer architecture and memory systems\n\nPerformance modeling, simulation, and profiling\n\nOperating systems and systems software\n\nHigh-performance computing\n\nEducation Requirements:\nIn study towards a bachelor’s degree in one of the following: Engineering Science, Computer Engineering, Electrical Engineering, Engineering Physics, Computer Science, or related field\n\nFor 16-month internships: must be available May/June 2027 - August/September 2028\n\nExpected graduation date of November 2028 or later.\n\nQualcomm’s Internship Program\nOur interns join world-class teams to help define and build what is next for mobility and the world. You’ll be paired with a mentor with visibility to your project and team, receive support from your manager, and have access to the entire Qualcomm employee community to ensure your success. To round out your internship, we host professional development workshops, social events, cross-functional speaker sessions, and an executive speaker series. In addition to competitive hourly pay and accrued vacation time, you will receive housing stipend to accommodate for the duration of your internship.\nApplication Process\nWe will review resumes on an ongoing basis, and a recruiter may reach out to you. Advancing candidates may be invited to complete a timed HackerRank challenge to evaluate their technical skill set.\nExport Control Notice\nThis role may require an export license for candidates with citizenship in certain countries (see current country list below - subject to change). Qualcomm, like other companies, is experiencing significant delays in the export license process. Please be advised that if an export license is required, you may not be able to start work with Qualcomm until the license is granted, which may impact your ability to participate in the internship.\nCountries requiring export: Armenia, Azerbaijan, Belarus, Burma (Myanmar), Cambodia, China, Cuba, Georgia, Hong Kong, Iran, Iraq, Kazakhstan, Kyrgyzstan, Laos, Libya, Macau, Moldova, Mongolia, Nicaragua, North Korea, Russia, Sudan, Syria, Tajikistan, Turkmenistan, Ukraine, Uzbekistan, Venezuela, Vietnam, and Yemen.\nApplicants: 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  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.\nQualcomm 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.\nTo 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.\nPay range and Other Compensation & Benefits:\n$54,600.00 - $103,350.00The 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. 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