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Principal GPU Verification Engineer in various locations
This position is a unique opportunity to exercise your hardware verification skills on cutting edge designs within the prestigious PowerVR Hardware Graphics group. Here you will exercise your skills on key components that meet latest demands and improvements for graphics IP.
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Staff GPU Verification Engineer in various locations
This position is a unique opportunity to exercise your hardware verification skills on cutting edge designs within the prestigious PowerVR Hardware Graphics group. Here you will exercise your skills on key components that meet latest demands and improvements for graphics IP.
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GPU Verification Lead in Hyderabad India
This position is a unique opportunity to exercise your hardware verification skills on cutting edge designs within the prestigious PowerVR Hardware Graphics group. Here you will exercise your skills on key components that meet latest demands and improvements for graphics IP.
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GPU Formal Verification Engineer in various locations
The role is for our fast-growing GPU Hardware team. Our mission is to create through constant innovation the best-in-class GPU IP, for a wide range of market segments and applications. By joining our team, you will have the opportunity to exercise your skills on cutting-edge designs, work on key building blocks for market-leading chips and deliver significant impact to the future success of our wider team.
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Senior/Staff Software Engineer - HPC/HTC in Wroclaw Poland
Our GPU & AI Hardware and Software IP teams need incredibly performant build and test workflows to help them deliver our upcoming IP roadmap - so we need a talented software engineer to help us build a revolutionary new automation system, and to keep our workflows running 24/7. We are building a new “designed for AI” automation system that uses AI, ML and algorithms to relentlessly optimise the workloads we execute across our on-prem and cloud compute resources. This automation systems will enable our teams in research, hardware, and software, to schedule and trigger benchmarks and workloads on versions of our IP, to run on a variety of platforms (compute, emulation, FPGA, and real devices) then view real-time data and insight via a data platform and algorithms.
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