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Develop state-of-the-art artificial intelligence and computer vision algorithms for publication and integration into Huawei products. Design and implement real-world AI/CV solutions, collaborate with research scientists and engineers, and supervise interns. The role focuses on video generation, 3D computer vision, machine learning, and rapid research prototyping.

Design and simulate compact antennas, MIMO and array structures, and RF front-ends for sub-6 GHz and mmWave applications. Develop additive-manufactured RF geometries, automate electromagnetic simulation and optimization workflows with Python and MATLAB, fabricate prototypes, and characterize performance using VNAs and anechoic chambers. Advance concepts toward high-volume production through design-for-manufacturing analysis, including material reliability, thermal performance, yield, and integration into consumer product enclosures.

Assist with creating and deploying networking solutions for AI and cloud infrastructure. Analyze industry trends and technical challenges, contribute to strategic roadmaps, and collaborate with academic and industry professionals. The role focuses on AI infrastructure, HPC and data-center networking, including RDMA, protocol optimization, traffic engineering, congestion control, topology design, resource allocation, networking architectures, software architecture, and distributed systems.

Design and develop core openJiuwen AI Agent Platform capabilities, including agent frameworks, workflows, tool calling, MCP, and multi-agent collaboration. Build AI agents for coding, research, data, and software engineering use cases. Contribute to JiuwenSwarm and open-source projects through feature development, issue resolution, documentation, examples, and community collaboration while exploring LLMs, memory, planning, evaluation, and agentic systems.

Develop and research next-generation real-time operating system technologies for embedded, cloud, virtualized, and automotive platforms. Address scheduling, resource allocation, system isolation, inter-process communication, concurrency, and performance challenges. Build tooling and system-level solutions while applying CPU architecture knowledge and real-time OS design expertise. The role also requires researching complex topics, creating technical designs, and documenting and presenting solutions to technical and non-technical audiences.

Research and develop hardware-aware ML optimization techniques for edge devices, including quantization, pruning, efficient architectures, compiler and runtime optimization, and heterogeneous CPU/GPU/NPU deployment. Profile real-device performance, energy, memory, and latency; build benchmarking and regression infrastructure; optimize LLM/VLM inference; publish findings and patents; collaborate with product, platform, and hardware teams; and mentor junior researchers while shaping the technical roadmap.

Conduct frontier research on data-efficient agentic AI, including model architectures, meta-learning, test-time adaptation, and reinforcement learning. Train deep learning models at scale, deploy agentic pipelines, design experiments and evaluations, analyze results, communicate findings, participate in brainstorming, support academic papers and technical reports, and stay current with machine learning publications.

Design and develop Huawei’s open-source agent framework, including architecture, abstractions, tooling, and developer experience. Analyze emerging agent projects, implement advanced architectures such as self-evolving and multi-agent systems, and deploy the framework in business products. Incorporate developer and business feedback to improve the platform. The role requires Python proficiency, asynchronous programming knowledge, understanding of large language models and agent techniques, and familiarity with agent frameworks.

Conduct research and simulations for next-generation IMDD optical transmission systems over hollow-core fiber. Model end-to-end non-coherent optical systems and fiber gas absorption, develop signaling and equalization methods to address channel fading, and evaluate high-launch-power effects on system reach and performance. Collaborate within an advanced optical communications R&D team.

Research and prototype GPU, AI, and heterogeneous hardware architectures; build AI training, fine-tuning, deployment, evaluation, and agent toolchains; optimize CPU, GPU, and AI workloads from architecture through kernels and shaders; and collaborate across hardware, software, algorithms, product, and game teams to validate innovations.