Posted 47 months ago
Senior Researcher - GPU Applications Architecture
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
Overview
Huawei Technologies Canada Co., Ltd. is hiring a Senior Researcher for its GPU Applications Architecture team, a full-time permanent role. The work covers GPU computing architecture for physical AI, 3DGS, autonomous driving and embodied AI, including simulation and cloud rendering platforms.
Responsibilities:
- Analyze physical AI, 3DGS, autonomous driving and embodied AI trends and GPU requirements
- Define hardware architecture, system framework and software architecture for GPU clusters
- Plan environmental simulation and rendering platforms on self-developed GPU architecture
- Drive competitive edge in space intelligence and the GPU technology ecosystem
Requirements summary:
- In-depth knowledge of emerging AI and GPU applications such as physical AI and 3DGS
- Knowledge of AI-enhanced rendering such as DLSS and neural rendering
- Proficiency in CUDA, OpenCL and Vulkan
- Expertise in GPU performance profiling and tuning
- Proven experience designing system architectures
- Strong teamwork and communication skills
Tools & skills
Source and dates
Employer career site / ATS feed · recruitee
- Employer posting date
- 2022-12-16
- 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 | Engineering |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
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 an Senior Researcher.
About the team:
The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.
One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.
About the job:
Conduct in-depth analysis of physical AI, 3DGS, unmanned driving, and embodied AI application and technological trends, thoroughly analyzing key requirements for GPU computing architecture. Plan the environmental simulation and rendering platform based on self-developed GPU architecture, and provide development, training, and simulation capabilities for emerging applications.
Conduct in-depth analysis of GPU cluster system. Define hardware architecture, system framework, and software architecture. Implement large-scale cluster intelligent solutions. Support the development and simulation of emerging applications such as physical AI, 3DGS, unmanned driving, embodied AI, and cloud rendering, and ensure the industry-leading capability in environmental simulation and rendering.
Continuously drive technological competitive edge in space intelligence and propel the development of self-developed GPU technology ecosystem.
About the ideal candidate：
In-depth knowledge about emerging AI&GPU applications, such as physical AI, embodied AI, 3DGS, World Models, etc. Experience in developing large-scale projects such as autopilot simulation and robot simulation is an asset.
In-depth knowledge about AI-enhanced rendering technologies/algorithms, such as DLSS and Neural Rendering. Experience with rendering engines (UE and Unity) is an asset.
Familiarity with AI chip architecture, computer architecture and operating system, and distributed reasoning & training framework. Proven experience in designing system architectures.
Proficiency in GPU architecture and programming models, GPU programming languages including CUDA, OpenCL, and Vulkan, and APIs.
Expertise in GPU performance profiling and tuning. Ability to develop and utilize tools for thorough analysis and performance enhancement.
Strong teamwork and communication skills, enabling effective collaboration with team members to successfully execute projects.
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