Senior Software Engineer - Rendering Infrastructure

Job in Markham, Ontario, Canada

Listing for: Huawei Canada

Full Time position
Listed on 2025-12-02

Job specializations:

Software Development
AI Engineer, Software Engineer, Machine Learning/ ML Engineer

Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR

Huawei Canada has an immediate permanent opening for a Senior Software Engineer.

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 is to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

As a key member of the team, you will work to push the performance boundary of our rendering infrastructure.

You will be contributing to design and implement some software components of Huawei cloud rendering service, such as GPU virtualization, task scheduling, frame buffer capture and streaming.

Together with the team, you will deliver high quality and low latency graphics user experience in the areas of cloud gaming, wireless AR/VR/XR, rendering farm, digital twin, and Metaverse.

About the ideal candidate:

Excellent C/C++ programming skills;
Expert skill of multi-threading and parallel programming.

Good knowledge of Linux kernel, cache, memory management, and low level device driver;
Windows D3D11/12, WDDM driver development and X server experience is an asset.

Excellent GPU performance tuning skills. Experience of profiling, debugging, pipeline optimization and H/W debugging tools.

Sound knowledge of graphics rendering pipeline (rasterization and ray-tracing); GPU virtualization, hypervisor (Qemu/KVM/Virtual Box/Xen) and parallel rendering experience is an asset.

Experience of shader language, Vulkan GPU memory management; JIT, LLVM compiler, assembly language knowledge is an asset.

Knowledge of ARM and x86 CPU architecture.

Linux X window capture and video encoding/streaming experience is an asset.

Excellent communication skills and self-motivated with strong commitment to project timeline.

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