Senior Research Engineer – Lightweight Sandbox for Agentic AI

Huawei; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading global ICT solutions provider in Munich is seeking a Senior Research Engineer to lead AI research initiatives and design lightweight execution environments. The role involves collaboration with cross-functional teams and mentoring junior members. The ideal candidate holds a Master's or PhD in Computer Science and possesses strong programming skills and familiarity with AI frameworks. Competitive compensation and a diverse working environment are offered.

Leistungen

Healthy meals in company canteen

Broad range of training opportunities

Welcoming environment with diverse backgrounds

Qualifikationen

• Master's or PhD in Computer Science, or a related field, with a focus on System for AI and machine learning.
• Familiarity with ML-frameworks e.g. TensorFlow or PyTorch.
• Strong system programming experience and familiarity with Linux kernel.

Aufgaben

• Lead research initiatives for designing lightweight runtime execution environments.
• Develop prototypes and perform experiments to analyze results.
• Mentor junior team members in best practices of Systems for AI.

Kenntnisse

Deep technical expertise

Creative problem-solving

Strong communication skills

Ausbildung

Master's or PhD in Computer Science

Tools

C

C++

Python

Docker

Kubernetes

Jobbeschreibung

Senior Research Engineer – Lightweight Sandbox for Agentic AI

Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

The size of our Cloud platform is gaining momentum and it is already planet scale. Huawei Cloud is one of the largest and fastest-growing platforms in the world. It has a strong presence with over 40 availability zones located across 4 continents and 23 geographical regions, covering locations such as Germany, Hong Kong, South Africa, or Brazil, among others.

We are seeking a highly skilled and experienced Senior Research Engineer to join our innovative IAAS team. In this role, you will play a pivotal part in creating systems that augment AI agents with lightweight execution environments for external execution. The goal of these systems is to maximize cloud resource utilization while minimizing latency of each call execution. You will collaborate with cross-functional teams to research, prototype, and implement cutting-edge solutions for AI systems. This position requires a blend of deep technical expertise, creative problem-solving, and a passion for pushing the boundaries of systems that enable AI research.

Your mission

• Lead research initiatives focused on designing lightweight runtime execution environments for Agentic Workloads.
• Develop prototypes and production-ready implementations of resource-efficient AI execution environments.
• Collaborate with researchers, engineers, and stakeholders to integrate AI agents into broader systems, ensuring compliance with industry standards and regulations.
• Conduct experiments, analyze results, and publish findings in top-tier conferences or journals to contribute to the field of AI Systems.
• Mentor junior team members and provide technical guidance on best practices in the field of Systems for AI.
• Stay abreast of emerging trends in virtualization, operating systems, sandbox environments e.g. Docker, WASM and apply them to ongoing projects.
• Evaluate and optimize the performance, scalability, and robustness of AI agents in real-world scenarios using Huawei Cloud.

Your areas of expertise

• Master's or PhD in Computer Science, or a related field, with a focus on System for AI and machine learning or Operating System and Virtualization.
• Familiarity with ML-frameworks e.g. TensorFlow or PyTorch. Familiarity with transformer and large language Models.
• Strong system programming experience. Experience in languages such as C, C++, Rust, golang, Python. Experience in Linux kernel and tool chain
• Demonstrated ability to innovate and conduct independent research, evidenced by publications, patents, or contributions to open-source projects in relevant areas.
• Strong communication skills, with experience presenting technical concepts to both technical and non-technical audiences.

Preferred Skills

• Experience in modern Agent frameworks e.g. CrewAI, LongGraph, Semantic Kernel, AutoGen…
• Experience in building compound AI systems with familiarity to agentic memory, KV cache optimization and inference software (vllm, llama.cpp etc.)
• Prior experience in a senior or lead role within a research-oriented organization or startup focused on AI technologies.
• Proven track record of working on Virtualization Technologies e.g. Firecracker, Qemu or other sandbox technologies e.g. Containers, WASM, libOS or Unikernels.
• Familiarity with Sandbox Orchestration e.g. Docker, Kubernetes

Your rewards of working here

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self-responsible work in a competent, motivated and constantly growing team.

Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services.

Huawei is an equal opportunities employer and welcomes applications from all sections of the community. We are committed to creating a diverse and inclusive workplace and encourage applications from qualified candidates of all backgrounds.