We are looking for a server application and workload (Cloud, Internet, Enterprise) expert to analyse, simulate emerging workloads (Compute and AI) and develop HW and SW optimizations that will improve their PnP (power and performance).
Responsibilities:
Track and review emerging compute and AI workloads for Cloud, Internment and enterprise applications
Deploy and Simulate emerging workloads on our system simulation infrastructure
Analyze performance bottle necks and develop innovations that will improve their performance
Work with the SW and HW development team in order to incorporate these innovations into our products
Occasionally simulate and analyze performance issues reported by customers and come up with solutions.
Responsibilities:
Track and review emerging compute and AI workloads for Cloud, Internment and enterprise applications
Deploy and Simulate emerging workloads on our system simulation infrastructure
Analyze performance bottle necks and develop innovations that will improve their performance
Work with the SW and HW development team in order to incorporate these innovations into our products
Occasionally simulate and analyze performance issues reported by customers and come up with solutions.
Requirements:
PhD or MSc in computer science or area related to computer architecture, or equivalent research experience in industry
At least 10 years of relevant research experience in industry or Academia
Ability to provide innovation and global vision throughout the company
Experience analyzing performance of new application and root cause of performance bottlenecks
Candidates should have research experience in at least one of the following areas:
Computer architectures: instruction set architecture, microarchitecture, cache sub-system, memory sub-system, NOC, interconnect- MUST.
Workload characterization and analytical model generation- MUST.
Parallel, High-Performance, and Distributed Computing with an emphasis on hardware-software characterization, optimization and innovation
Heterogeneous Architectures and Systems for Datacenters.
Expertise in the field of AI will be a big advantage Excellent communication, presentation and reporting skills Experience working with highly technical teams and communicating to non-technical partners.
Excellent oral and written English.
PhD or MSc in computer science or area related to computer architecture, or equivalent research experience in industry
At least 10 years of relevant research experience in industry or Academia
Ability to provide innovation and global vision throughout the company
Experience analyzing performance of new application and root cause of performance bottlenecks
Candidates should have research experience in at least one of the following areas:
Computer architectures: instruction set architecture, microarchitecture, cache sub-system, memory sub-system, NOC, interconnect- MUST.
Workload characterization and analytical model generation- MUST.
Parallel, High-Performance, and Distributed Computing with an emphasis on hardware-software characterization, optimization and innovation
Heterogeneous Architectures and Systems for Datacenters.
Expertise in the field of AI will be a big advantage Excellent communication, presentation and reporting skills Experience working with highly technical teams and communicating to non-technical partners.
Excellent oral and written English.
This position is open to all candidates.
