Huawei Research Center Germany
Senior/Principal AI Systems Engineer
Dresden, DE · Principal
Sponsorship not specifiedDetected 9 days ago
Distributed SystemsMachine LearningComputer VisionLLMsSystems EngineeringResearchLeadershipCommunicationMentoring
About the role
- You will work closely with product teams to translate research breakthroughs into production‑ready capabilities, while growing and mentoring a world‑class research and development team.
- Mentor and grow the engineering team - Provide technical leadership, architectural guidance, and mentorship to engineers working on inference, agent logic, distributed systems, and hardware‑aware optimization.
- Your areas of expertise Advanced academic background - BSc/Master/PhD in Computer Science or related fields, with strong foundations in systems engineering or machine learning.
Responsibilities
- Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
- Join us as a Principal AI Systems Engineer (m/f/d) and lead the creation of next‑generation agent systems for the AI PC era.
- In this role, you will drive research into intelligent, autonomous agents capable of operating across heterogeneous compute tiers - from on‑device execution to near‑device accelerators and cloud‑scale reasoning.
- Build scalable agent runtimes - Own the architecture of runtimes that coordinate multiple models, sensor inputs, memory subsystems, and decision‑making loops across heterogeneous compute tiers.
- Drive performance across CPU/GPU/NPU/cloud - Lead optimization efforts for latency, throughput, memory footprint, and energy efficiency across AI PCs, edge devices, and cloud clusters.
- Translate research into production agents - Partner with research teams to evaluate new model architectures and convert them into robust agent behaviors that run efficiently across distributed environments.
- ML systems engineering - Deep experience building and integrating inference pipelines into production systems.
Requirements
- Model optimization - Experience with quantization, pruning, distillation, and other efficiency‑driven transformations.
Benefits
- Lead multi‑tier intelligence strategy - Define how agents decide where to run each component (LLM, vision, speech, planning, memory) based on latency, cost, privacy, and hardware availability.
Company info
- We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
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