FY27 Intern - Machine Learning Compiler & Performance Engineering Intern - Canada (16 months)
Qualcomm1 day ago
Markham, CanadaIntern
Base Salary
$55k - $103k/yr
Responsibilities
- Compile and optimize neural networks for execution on Qualcomm AI accelerators.
- Analyze model performance, compiler algorithms, runtime efficiency, hardware utilization, and compute or memory bottlenecks.
- Prototype optimization algorithms for high-performance, low-power AI workloads.
- Contribute to Qualcomm’s ML compiler stack and optimize emerging AI workloads and neural network architectures.
- Develop performance models and simulation infrastructure using Python, C, and C++.
- Evaluate current and future Qualcomm AI accelerators and guide hardware and software feature development.
Requirements
- Currently enrolled in a bachelor’s or master’s degree program in computer engineering, computer science, electrical engineering, or a related field.
- At least 1 year of academic experience with programming languages such as C, C++, or Python.
- Proficiency in Python or C++.
- Strong analytical, problem-solving, debugging, written communication, and verbal communication skills.
- Preferred qualifications include object-oriented design knowledge, Git, Linux, SSH, algorithms and data structures, and experience with ML frameworks, model optimization, AI architectures, computer architecture, performance modeling, operating systems, or high-performance computing.
Benefits
- 16-month internship from May 2027 through August 2028 in Markham, Canada, with an expected graduation date of November 2027 or later.
- Competitive hourly pay, accrued vacation time, and a housing stipend for the internship duration.
- Mentorship, manager support, professional development workshops, social events, cross-functional speaker sessions, and an executive speaker series.
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.