Huaweis vision is to enrich lives through communication and intelligent innovation.
As a global leader in information and communications technology (ICT) Huawei drives innovation in artificial intelligence cloud computing and smart device technologies. Through its Carrier Enterprise and Consumer business groups the company delivers advanced Network Infrastructure Cloud and AI Platforms and industry-leading devices.
Huawei supports 45 of the worlds top 50 telecom operators and serves one-third of the global population with operations in over 170 countries and a workforce of more than 200000 employees.
Huawei Technologies Switzerland AG contributes to this innovation through cutting-edge research with offices in Zurich and Lausanne focusing on High-Performance Computing Computer Architecture Computer Vision Robotics Artificial Intelligence Neuromorphic Computing Wireless Technologies Networking and related fields.
In this job opening we are seeking a highly motivated and visionary researcher to join our team focused on chiplet-based computing systems. This role involves research and development in chiplet-based architectures aiming to overcome performance and scalability limits of traditional compute platforms.
Responsibilities:
Conduct cutting-edge research to design chiplet-based systems with a focus on enabling high-bandwidth and low-latency interconnects across chiplets.
Investigate various aspects of system design including:
o Topology exploration routing algorithms protocol and flow control design
o Chiplet placement and interposer design strategies
o Fault tolerance and redundancy for yield and reliability
o Programming models and compiler/runtime support
Prototype and evaluate new architectural innovations including NoC (Network-on-Chip) enhancements and memory hierarchy design.
Contribute to long-term research strategy through technical leadership white papers and vision documents.
Publish high-quality research in top-tier conferences and journals (e.g. ISCA MICRO HPCA ASPLOS etc.).
Requirements:
PhD in Electrical Engineering Computer Engineering Computer Science or a closely related field.
Strong background in interconnection networks and computer architecture is a must.
Demonstrated research expertise in one or more of the following areas:
o Network-on-Chip (NoC) architecture including routing flow control topologies and performance modeling
o Packaging technologies (e.g. 2.5D/3D integration silicon interposers)
o Programming models and hardware/software interfaces (e.g. load/store message-passing RDMA shared memory models)
o System-level modeling and simulation (e.g. cycle-accurate simulators)
Proven publication record in relevant peer-reviewed venues.
Excellent analytical problem-solving and system-level thinking skills.
Strong verbal and written communication skills and the ability to work both independently and collaboratively in a cross-disciplinary team.
Why join us:
Collaborate with world-class scientists and engineers in an open curiosity-driven environment;
Access to state-of-the-art technology and tools;
Opportunities for professional growth and development;
Competitive salary and a high quality of life in Zurich at the center of Europe;
Last but certainly not least: be part of innovative projects that make a difference.
Huaweis vision is to enrich lives through communication and intelligent innovation.As a global leader in information and communications technology (ICT) Huawei drives innovation in artificial intelligence cloud computing and smart device technologies. Through its Carrier Enterprise and Consumer busi...
Huaweis vision is to enrich lives through communication and intelligent innovation.
As a global leader in information and communications technology (ICT) Huawei drives innovation in artificial intelligence cloud computing and smart device technologies. Through its Carrier Enterprise and Consumer business groups the company delivers advanced Network Infrastructure Cloud and AI Platforms and industry-leading devices.
Huawei supports 45 of the worlds top 50 telecom operators and serves one-third of the global population with operations in over 170 countries and a workforce of more than 200000 employees.
Huawei Technologies Switzerland AG contributes to this innovation through cutting-edge research with offices in Zurich and Lausanne focusing on High-Performance Computing Computer Architecture Computer Vision Robotics Artificial Intelligence Neuromorphic Computing Wireless Technologies Networking and related fields.
In this job opening we are seeking a highly motivated and visionary researcher to join our team focused on chiplet-based computing systems. This role involves research and development in chiplet-based architectures aiming to overcome performance and scalability limits of traditional compute platforms.
Responsibilities:
Conduct cutting-edge research to design chiplet-based systems with a focus on enabling high-bandwidth and low-latency interconnects across chiplets.
Investigate various aspects of system design including:
o Topology exploration routing algorithms protocol and flow control design
o Chiplet placement and interposer design strategies
o Fault tolerance and redundancy for yield and reliability
o Programming models and compiler/runtime support
Prototype and evaluate new architectural innovations including NoC (Network-on-Chip) enhancements and memory hierarchy design.
Contribute to long-term research strategy through technical leadership white papers and vision documents.
Publish high-quality research in top-tier conferences and journals (e.g. ISCA MICRO HPCA ASPLOS etc.).
Requirements:
PhD in Electrical Engineering Computer Engineering Computer Science or a closely related field.
Strong background in interconnection networks and computer architecture is a must.
Demonstrated research expertise in one or more of the following areas:
o Network-on-Chip (NoC) architecture including routing flow control topologies and performance modeling
o Packaging technologies (e.g. 2.5D/3D integration silicon interposers)
o Programming models and hardware/software interfaces (e.g. load/store message-passing RDMA shared memory models)
o System-level modeling and simulation (e.g. cycle-accurate simulators)
Proven publication record in relevant peer-reviewed venues.
Excellent analytical problem-solving and system-level thinking skills.
Strong verbal and written communication skills and the ability to work both independently and collaboratively in a cross-disciplinary team.
Why join us:
Collaborate with world-class scientists and engineers in an open curiosity-driven environment;
Access to state-of-the-art technology and tools;
Opportunities for professional growth and development;
Competitive salary and a high quality of life in Zurich at the center of Europe;
Last but certainly not least: be part of innovative projects that make a difference.
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