OverviewThis is an opportunity to join a dynamic GPU Hardware team and tackle complex challenges that span from small-screen watches to flagship smartphones and beyond. Within this role you will encounter intriguing problems like crafting scalable memory systems to cater to the diverse needs of both small GPUs and giant multi-core systems. This will be focusing on cache coherency, where your familiarity with cache coherency protocols will be instrumental in optimizing performance across shader cores and shared caches.If you're ready to pioneer ground breaking solutions please apply now and be at the forefront of shaping the future of GPU memory systems!
Responsibilities
Focus on cache coherency and optimize performance across shader cores and shared caches.
Design memory system components such as caches and MMUs for multicore CPU or GPU systems.
Collaborate on crafting scalable memory systems, cache coherence, and address translation.
Qualifications
Multiple years of industry experience with proven expertise designing memory system components such as caches and MMUs for multicore CPU or GPU systems.
Prior working knowledge of crafting scalable memory systems, cache coherence, and address translation.
Must have written HDL code (Verilog, SystemVerilog, VHDL) at some point in your career.
Strong programming and coding skills.
Demonstrable knowledge of GPU systems and prior working experience in this field.
Key Words: GPU / Memory Systems / System Design / CPU / MMU / Cache coherency / Scalable memory systems / Address translation / HDL / Verilog / System Verilog / VHDL / multicore / shader cores
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Seniority levelMid-Senior level
Employment typeFull-time
Job functionEngineering, Information Technology, and Research
IndustriesComputer Hardware ManufacturingSoftware DevelopmentSemiconductor Manufacturing
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