Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to sound 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 180,000 employees, Huawei is committed to enabling the future information society, and building a Better Connected World.

Our Huawei Zurich Research Center is embedded in the European network and plays a pivotal role in driving innovation. The research work of our Labs is carried out not only by Huawei's internal research staff but also by our academic research partners in universities across Europe. 

The Neuromorphic Computing Research Lab is in charge of incubating and developing cutting-edge Computing and AI technologies. Neuromorphic and Brain-Inspired Computing will play a key role in the next generation AI.

More specifically, the Lab conducts research and development on cutting edge Neuro-inspired Computing Algorithms, including but not limited to brain inspired algorithms design, neuromorphic computing elements, knowledge representation and learning algorithms, algorithm optimization and acceleration.

For our Neuromorphic Computing Research Lab in Zurich, we are looking for a:

Research Engineer in Neuromorphic and Computing Algorithms

Responsibilities

• Research on Neuro-inspired computing and learning frameworks, key technologies and industry best practices
• Research on modern recurrent networks (state-space models etc.) as efficient alternatives to self-attention
• Research and develop architectures and learning algorithms for next generation AI tools and applications such as language modeling
• Keep up to date with the latest research literature, attend conferences, and learn continuously to stay on the forefront of research
• Work closely with a multidisciplinary team inside Huawei for integrated solutions;
• Develop patents and publish academic articles in top venues (NeurIPS, ICLR, ICML)

• Fresh PhD graduate or Master degree in Neuromorphic Engineering, Computational Neuroscience, Computer science, Mathematics or Machine Learning
• Extensive experience and knowledge of modern deep learning architectures (Transformers, recurrent networks, state-space models, etc.) and algorithms
• Expertise in researching language models and benchmarks for general sequence models
• Strong skills in one of programming languages/frameworks like Python, C/C++, PyTorch or JAX
• Knowledge of Linux operating system
• Passion in shaping the future of the Neuromorphic Computing and AI
• Enthusiasm in contributing to the future of modern machine learning architectures and algorithms 
• Excellent problem-solving and analytical skills
• Fluent English, excellent communication and presentation skills.
• Ability to work in an international, diversified, cross-domain team environment

Nice to have:

• Practical experience with a machine learning project 
• Demonstrated by an excellent academic track record and publications in top venues (NeurIPS, ICLR, ICML, …) or published code bases
• Contributions in relevant open source projects