Intern Researcher – AI Foundation Model Training

    Huawei Canada logo

    Huawei Canada

    1,001-5,000 employeesFounded 1987Markham, OntarioTelecommunications
    Actively hiringPaidTelecommunications
    Apply Now

    Best applied by Oct 26

    Access our internships job board to view 10,000+ active internships.


    About the role#

    Huawei Canada is seeking an Intern Researcher to join the Computing Data Application Acceleration Lab. This role involves working on full-stack innovations, including software-hardware co-design and data efficiency at the storage and runtime layers. You will contribute to the development of next-generation GPU architecture and help improve algorithm performance and training efficiency.

    What you'll do#

    • Support the development and optimization of foundation models, including LLM, Code, and Multimodal models.
    • Assist with model architecture improvements, experimentation, and post-training optimization techniques.
    • Conduct research on continual learning and hardware-aware methods to improve model efficiency.
    • Help build and optimize distributed training and inference systems by applying parallelization strategies like model, tensor, and data parallelism.
    • Support operator-level and computational graph optimizations.
    • Perform benchmarking and analysis to evaluate system performance.
    • Work with hardware architects and algorithm engineers to support experiments and prototyping.

    What you'll need#

    • Currently pursuing a PhD or Master Degree in Computer Science, Electrical Engineering, or a related field.
    • Exposure to AI architectures such as transformers or mixture-of-experts.
    • Exposure to computer architecture, including memory systems or interconnects.
    • Familiarity with deep learning frameworks like PyTorch, vLLM, or SGLang.
    • Understanding of large-scale model training and distributed training fundamentals.
    • Demonstrated interest in research through academic projects, publications, or previous internships.
    • Hands-on experience with GPUs or AI accelerators such as NPU or TPU is preferred.
    • Contributions to academic or open-source ML projects are a plus.

    Location & details#

    • Location: Markham, Ontario, Canada.
    • Work Arrangement: On-site.
    • Term: 6-12 months.
    • Compensation: Annual target compensation ranges from $58,000 to $104,000 based on education and experience.

    About Huawei Canada

    Huawei Canada operates as a division of the global information and communications technology provider founded in 1987. The company focuses on research and development, specifically in 5G technologies, cloud services, and network infrastructure. It maintains a significant presence in Canada with its main headquarters in Markham and multiple research facilities across the country. The Canadian operations employ over 1,700 people.

    LinkedInWebsiteCareers emailHuawei Canada contact channels unlock with a free account
    All Huawei Canada internships

    How to get in at Huawei Canada

    Applying early gives you a distinct advantage at Huawei Canada, as recruiters often review applications as they arrive before the candidate pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you stay ahead of the crowd. Being among the first to submit your materials ensures your profile is seen before the pile grows. You can also improve your response rates by reaching out to the right people. Intern Insider surfaces the recruiters behind the company's roles, allowing you to connect directly to ask about the position or a referral. This direct approach often proves more effective than waiting for a response from a general application queue.

    Get alerts for new Huawei Canada internships
    Share

    Interns who landed roles with Intern Insider

    “Intern insider has changed the way I apply to jobs. It saves me so much time with applications and curating different resumes for different positions.”
    Samantha C., Mechanical Engineering Student

    Samantha C.

    Mechanical Engineering Student

    “I was in the recruitment cycle for over 2 years and had almost given up on landing an internship. Then I gave Intern Insider a shot and the first interview I got through the platform turned into an offer!”
    Rajan S., Software Engineer Intern

    Rajan S.

    Software Engineer Intern

    Apply to more than this one.

    10,000+ open internships in one place, with the deadlines and the people to email.

    Create free account
    Apply by Oct 26Apply Now