Embedded Engineer – AI System Architecture

Huawei Technologies Canada Co., Ltd. • Edmonton, AB

2d

About The Position

Huawei Canada has an immediate 12-month contract opening for an Embedded Engineer. 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. This role involves the research and development of Agentic AI Software for system optimization on edge devices, with measurable wins in latency, power, and quality. The engineer will apply ML/RL-based techniques (e.g., cost models, schedulers, Ai model training) to provide Agentic Ai best solutions, 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, and evaluate and improve software performance.

Requirements

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

Nice To Haves

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

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level