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Senior/Principal AI Systems Engineer(m/w/x)
Architecting hybrid agent systems with on-device, near-device, and cloud-scale reasoning. Deep ML inference pipeline production experience required. Healthy meals in company canteen, German language courses.
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Anforderungen
- Advanced academic background (BSc/Master/PhD) in Computer Science or related fields
- Strong foundations in systems engineering or machine learning
- Deep experience building ML inference pipelines
- Experience integrating ML inference pipelines into production
- Expertise in designing agent planning loops
- Expertise in designing agent memory subsystems
- Expertise in designing agent tool-use interfaces
- Expertise in designing multi-step reasoning pipelines
- Strong knowledge of CPU/GPU/NPU pipelines
- Strong knowledge of memory hierarchies
- Strong knowledge of low-level performance tuning on PC hardware
- Fluent English communication skills
- Ability to communicate complex systems clearly
- Familiarity with RPC frameworks
- Familiarity with message buses
- Familiarity with microservices
- Familiarity with distributed scheduling for multi-tier agent workloads
- Experience orchestrating model execution across environments
- Skilled in designing performance experiments
- Skilled in interpreting performance experiments
- Experience with model quantization
- Experience with model pruning
- Experience with model distillation
- Experience with efficiency-driven model transformations
Aufgaben
- Architect hybrid agent systems
- Design agent architectures combining on-device inference, near-device compute, and cloud-scale reasoning
- Lead multi-tier intelligence strategy
- Define agent component placement based on latency, cost, privacy, and hardware availability
- Build scalable agent runtimes
- Coordinate multiple models, sensor inputs, memory subsystems, and decision-making loops
- Drive performance across CPU/GPU/NPU/cloud
- Optimize latency, throughput, memory footprint, and energy efficiency
- Translate research into production agents
- Evaluate new model architectures with research teams
- Convert new models into robust agent behaviors
- Mentor and grow the engineering team
- Provide technical leadership and architectural guidance
- Offer mentorship in inference, agent logic, distributed systems, and hardware-aware optimization
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Healthy meals in company canteen
- Training opportunities
- Online training programs
- Face-to-face training programs
- German language courses
- Mandarin language courses
- Diverse and welcoming environment
- Self-responsible work
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Huawei Research Center Germany erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Huawei Research Center GermanyÜber das Unternehmen
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