Senior Research Engineer - Lightweight Sandbox for Agentic AI

Huawei Research Center Germany & Austria; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading global ICT solutions provider is seeking a Senior Research Engineer at their Munich location. This role involves developing innovative AI systems, optimizing performance, and collaborating with diverse teams. Ideal candidates will have a Master's or PhD in Computer Science, strong programming skills in languages like C and Python, and experience with machine learning frameworks. The position offers a dynamic work environment and opportunities for professional growth.

Leistungen

Healthy meals

Broad range of training opportunities

Diverse working environment

Qualifikationen

• Experience with ML frameworks like TensorFlow or PyTorch is essential.
• Demonstrated ability to conduct independent research, evidenced by publications.
• Experience in languages such as C, C++, Rust, Go, Python.

Aufgaben

• Lead research initiatives to design lightweight runtime environments.
• Develop prototypes for resource efficient AI execution.
• Collaborate with teams to integrate AI agents into systems.

Kenntnisse

Machine learning frameworks

System programming

Strong communication skills

Ausbildung

Master's or PhD in Computer Science or related field

Tools

Docker

Kubernetes

Linux

Jobbeschreibung

Overview

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 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 light weight runtime execution environment for Agentic Workloads.
• Develop prototypes and production-ready implementations of resource efficient AI execution environment.
• 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 system, sandbox environment 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

By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here.

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.

Please send your application and CV (incl. cover letter and reference letters) in English.

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. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.

Department Intelligent Cloud Technologies Laboratory
Locations Munich