About the role#
The Advanced Computing and Storage Lab in Vancouver explores adaptive computing system architectures to handle variable application loads. You will work on key industry AI scenarios, including large model training and inference. The team focuses on building stable, efficient computing clusters by designing precision control systems and dynamic configuration strategies.
What you'll do#
- Advance the performance, efficiency, and usability of AI systems on the Ascend platform.
- Design and develop optimization solutions for AI training and inference systems, including work on FP8 optimization and RL-driven training agents.
- Combine AI algorithm requirements with system-level architectural optimizations in computing, I/O, and scheduling.
- Build stable and efficient AI training clusters to ensure scalability and reliability.
- Develop software frameworks, operator libraries, and acceleration libraries for NPU platforms.
- Drive innovation in large-model training and inference through parallel strategy tuning and low-precision training.
- Track research progress and technological trends in AI computing cluster architecture to maintain system competitiveness.
What you'll need#
- Currently pursuing a degree in Computer Science, Computer Engineering, or related fields like software, automation, electronics, communications, or robotics.
- Familiarity with common model structures such as Deepseek and Llama.
- Technical background in large model training and inference optimization, specifically in LLM, MoE, or multimodality.
- Experience with hardware architecture and programming systems for AI accelerators like GPU or NPU.
- Solid programming foundation in Python, C, or C++ with strong architecture design habits.
- Experience developing AI training frameworks or AI reasoning engines.
- Ability to work independently, solve problems, and research new technologies.
Location & details#
- Location: Vancouver, British Columbia, Canada (4321 Still Creek).
- Work arrangement: On-site.
- Compensation: $56,000 to $79,000 per year, based on a 2080-hour work year and candidate expertise.
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.
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.



