Embedded Engineer – AI System Architecture

Job description

Huawei Canada has an immediate 12-month contract opening for an Embedded Engineer.

About the team:

The Software-Hardware System Optimization Lab continuously improves the power efficiency and performance of smartphone products through software-hardware systems optimization and architecture innovation. We keep tracking the trends of cutting-edge technologies, building the competitive strength of mobile AI, graphics, multimedia, and software architecture for mobile phone products.

About the job:

• Research and development of Agentic AI Software for system optimization on edge devices, with measurable wins in latency, power, and quality.

• Apply ML/RL-based techniques (e.g., cost models, schedulers, Ai model training) to provide Agentic Ai best Solution.

• Develop, integrate, and debug Linux/Android Embedded software (graphics, camera, kernel drivers, framework software, etc.)

• Develop and debug diagnostic tools for internal development teams.

• Build/extend tooling for benchmarking, tracing, and automated regression/perf testing.

• Evaluate and improve software performance.

Job requirements

About the ideal candidate:

• Master's or PhD degree in Computer Science or related fields. Solid experience in ML systems or performance engineering (industry, OSS, or research).

• Strong system development skills, Fluency in Python and C++ and Linux shell scripting.

• Experience with one or more large-scale C++ embedded system projects.

• Ability to turn ambiguous perf problems into measurable, repeatable experiments.

• Contributions to relevant OSS (links welcome).

• Experience with computer architectures, parallel and asynchronous programming, and performance analysis of those systems.

• Strong knowledge of Android/Linux system fundamentals is an asset.

• Excellent communication skills, self-motivated, with creative thinking and attention to detail.