Role Overview
We are seeking a Senior R&D Engineer to join our Game Rendering Acceleration Lab, focusing on low-level analysis and implementation of rendering improvements in shipped game binaries on Huawei devices, including mobile platforms and laptops.
This role involves both reverse engineering and development work. You will examine binary game code to understand how rendering behaves on Huawei hardware, and then implement changes to improve performance, stability, or visual output. The work relies on reverse engineering tools, and requires moving from binary analysis to practical modifications in the rendering pipeline.
Core Responsibilities
Analyze compiled game binaries to trace rendering pipelines, GPU interactions, and execution flow on Huawei devices.
Use widely known reverse engineering tools as well as internal code analysis frameworks to decompile, annotate, and interpret low-level code.
Investigate driver behavior, hardware scheduling, and memory usage patterns to understand how rendering workloads are executed on-device.
Identify device-specific rendering logic, bottlenecks, and inefficiencies tied to Huawei chipsets and GPUs (mobile and laptop).
Implement code-level changes, such as hooks, patches, or alternative rendering paths, and validate them through profiling and debugging.
Modify or extend rendering behavior without access to original source code where necessary.
Translate low-level findings (disassembly, traces) into concrete engineering tasks or improvements.
Work with other engineers to integrate and maintain changes.
Build small tools or scripts to support analysis and implementation.
Required Qualifications
Strong systems programming skills in C/C++ and experience with assembly (ARM and/or Intel).
Solid understanding of OS internals, memory management (MMU), and scheduling.
Experience with reverse engineering and binary analysis, including hands‑on use of those tools.
Good understanding of graphics pipelines and low-level APIs (e.g., Vulkan, OpenGL ES, Metal, or DirectX 12).
Familiarity with modern GPU architectures (e.g., Mali, Adreno) and how workloads are executed on them.
Ability to work with incomplete or undocumented systems and turn findings into working code.
Ability to communicate complex low-level analysis clearly and translate it into actionable engineering work.
Preferred Qualifications
Master's or PhD in Computer Science, Software Engineering, or a related field, with a focus on graphics or high-performance computing.
Experience analyzing or modifying graphics drivers or game engines.
Familiarity with Huawei SoCs (e.g., Kirin) and their GPU stacks.
Knowledge of shader IRs and languages (SPIR-V, GLSL).
Experience with performance profiling and debugging on embedded devices.
Professional fluency in English; Mandarin proficiency is a plus.
Legally eligible to work in Ireland.
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