Senior Researcher - GPU Applications Architecture
- Markham, ON, Canada
Applications open in a new tab.
Job details
- Posting language
- English
- Posted
Original job description
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.
More about this job
Responsibilities
The Senior Researcher at Huawei will analyze emerging AI and rendering trends and define GPU hardware and software architecture for large-scale cluster systems. The role also supports simulation and rendering platforms and drives the company's self-developed GPU technology ecosystem.
Requirements
Candidates need in-depth knowledge of emerging AI and GPU applications, AI-enhanced rendering, AI chip and computer architecture, and system architecture design. Proficiency in CUDA, OpenCL or Vulkan, GPU performance profiling and tuning, and strong teamwork and communication are required.
Skills
- CUDA
- OpenCL
- Vulkan
- GPU programming models
- GPU performance profiling and tuning
- DLSS
- neural rendering
- Unreal Engine
- Unity
- AI chip architecture
- computer architecture
- operating systems
- distributed training framework
- distributed inference framework
- system architecture design
- GPU cluster architecture
- autonomous driving simulation
- robot simulation
- 3DGS
- World Models
- teamwork
- communication
Categories
- Technology
- Software
- Data & Analytics
- Science & Research
Keywords
- GPU architecture
- GPU applications
- CUDA
- OpenCL
- Vulkan
- physical AI
- embodied AI
- 3DGS
- World Models
- autonomous driving simulation
- robot simulation
- DLSS
- neural rendering
- Unreal Engine
- Unity
- rendering engine
- cloud rendering
- GPU cluster
- distributed training
- AI chip architecture
Seniority
Senior
Tools
- CUDA
- OpenCL
- Vulkan
- Unity
Languages
- English