Posted 19 months ago
Principal Software Engineer - Cloud AI Infrastructure
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
Overview
Huawei Technologies Canada is hiring a Principal Software Engineer for its Distributed Scheduling and Data Engine Lab, a Huawei Cloud innovation center. The role integrates AI frameworks with cloud infrastructure to improve the observability, reliability and performance of AI inference and fine-tuning services. The posting states a permanent full-time position with no stated schedule or pay.
Responsibilities:
- Integrate AI frameworks with cloud infrastructure for inference and fine-tuning
- Improve observability, reliability and performance of AI services
- Design and develop concept prototypes and validate optimization strategies
- Support product team prototype development
Requirements summary:
- 5 years of software development experience, 2 years in AI infrastructure R&D
- Proficiency in Golang or Rust
- Experience with Kubernetes or Ray
- Understanding of AWS and Azure cloud platforms
- Master's or Ph.D. or equivalent practical experience
Tools & skills
Source and dates
Employer career site / ATS feed · recruitee
- Employer posting date
- 2025-04-16
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (preferred), Doctorate (preferred) |
| Fields of study | Computer Science, Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Huawei Technologies Canada Co., Ltd.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
- People associated on LinkedIn
- 142,744
- Other recorded names
- Huawei Finland R&D
- Huawei
- Huawei Europe
- Huawei Denmark
- Huawei Norway
- Huawei
- Huawei Serbia&Hungary Rep Office
- Huawei Telekomünikasyon Dış Ticaret Ltd
- Huawei Technologies Italia
- Huawei Switzerland
| Field | Value |
|---|---|
| Industry | Telecommunications |
| Company size | 10001+ |
| Headquarters | Shenzhen, Guangdong |
| Open jobs on Jobsy | 190 |
| View page |
Huawei Canada has an immediate permanent opening for a Principal Engineer.
About the team:
Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud native databases, infrastructure resource scheduling and prediction, cloud-native middleware, media engines, and user experience studies. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform. Our team has an immediate permanent opening for a Principal Software Engineer.
About the job:
Integrate AI frameworks with cloud infrastructure to optimize end-to-end architecture for AI inference and fine-tuning scenarios. Focus on improving the observability, reliability, and performance of AI services.
Collaborate with team members to design and develop concept prototypes. Conduct validation of optimization strategies to ensure effectiveness.
Work closely with the product team to support the development of prototypes, taking into account the constraints and requirements of the product's current status.
About the ideal candidate:
5 years of software development experience, with a minimum of 2 years of experience in AI infrastructure-related platform R&D for fine-tuning or inference, including but not limited to AI workload profiling tools development, vLLM or SGLang development, infrastructure level troubleshooting and root cause analysis.
Proficiency in Golang or Rust. Must be able to write clean, efficient, and high-quality code from scratch.
In-depth understanding of AI technologies and familiarity with the module interactions involved in AI model training, inference framework and storage system.
Proficient in Kubernetes or Ray, with practical experience in developing services based on these platforms.
Strong understanding of cloud services and platforms such as AWS and Azure.
Highly analytical, with strong problem-solving skills and the ability to address complex technical challenges effectively.
Self-driven, with a proven ability to learn quickly and take initiative.
Master's or Ph.D. degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
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