MediaTek Research Lab Inc.

MediaTek Research Lab Inc. is seeking a Principal Engineer - GPU Driver & System Software to enhance next-generation GPU technologies in Cambourne, UK. This role involves architecting and optimizing GPU systems, ensuring performance across the entire software stack, and addressing complex technical challenges. The ideal candidate will have over 8 years of experience in GPU systems and be fluent in C/C++. Join a leading company at the forefront of semiconductor technology and make an impact in advancing graphics and computing performance.

MediaTek Research Lab Inc. in Cambridge is seeking engineers to develop GPU architectures for next-gen SoCs. Responsibilities include defining GPU architecture, collaborating on performance analysis, and debugging performance issues. Candidates should have a degree in Computer Science or Engineering and experience in GPU architecture and modeling. Preferred qualifications include knowledge of mobile GPU design and experience with performance analysis tools. This role offers a chance to work on cutting-edge technology in an innovative environment.

MediaTek Incorporated is a global fabless semiconductor company that enables nearly 2 billion connected devices a year. We are a market leader in developing innovative systems on chip (SoC) for mobile devices, home entertainment, connectivity and IoT products. MediaTek is the number one Wi Fi supplier across broadband, retail routers, consumer electronics devices and gaming, and its Wi Fi 6 chipsets are powering the latest networking equipment for faster computing experience's. With market leader position of MediaTek SoC design, MediaTek GPU IP team is committed for industry leading, feature rich and PPA competitive GFX IP optimization, customization and development. The GFX IP will be not only deployed in flagship and mainstream mobile SoC, but also served as fundamental technology for adjacent markets like laptop, IoT, AI, VR/AR, automotive etc. The team is now hiring all areas of GPU talents in all levels including Architecture, Architecture, SW driver, Compiler, Performance, Power and Model engineers to join Cambourne, Cambridge. Responsibilities Define and develop best in class GPU architecture and performance/power models for next generation MediaTek SoCs. Build and maintain cycle accurate / performance / functional models of GPU subsystems (e.g., shader cores, fixed function units, memory hierarchy, interconnect). Use modeling and profiling to explore architectural trade offs (performance, power, area) and guide micro architecture decisions. Analyze workloads (games, graphics benchmarks, GPU compute, AI/ML kernels) using simulation and hardware profiling to identify bottlenecks and optimization opportunities. Collaborate closely with model, RTL, DV, driver and compiler and performance teams to ensure architectural intent is correctly implemented, verified and tuned. Provide architectural input to compiler/driver/runtime teams to maximize utilization of GPU hardware through software optimizations. Develop methodologies, tools and automation flows for GPU performance estimation, capacity planning and regression analysis. Lead the debug and root cause analysis of performance, power and bandwidth issues observed in models, emulation and silicon. Drive cross team technical discussions, present modeling results and architectural proposals, and influence roadmap decisions for next generation GPUs. Main Requirements and Qualifications Bachelor, Master's or higher in Computer Science, Electrical/Computer Engineering or a closely related field. Experience in GPU, graphics, high performance compute, AI accelerator, or related architecture/modeling areas. Strong experience with performance and/or cycle accurate modeling, simulation frameworks, or architectural exploration for complex SoCs or accelerators. Solid understanding of graphics and compute APIs such as Vulkan, OpenGL, DirectX and/or GPU compute frameworks (e.g., OpenCL, CUDA, Metal). Proficiency in at least one modeling or implementation language (e.g., C/C++, SystemC, Python) and familiarity with scripting for data analysis and automation. Experience with performance analysis tools, profiling methodologies and workload characterization for games, benchmarks and/or GPU compute workloads. Good written and oral communication skills, with the ability to present complex technical topics clearly and drive consensus across teams. Preferred Qualifications Experience with mobile/low power GPU design and power/performance trade off analysis. Background in compiler, driver, or runtime optimization for GPUs or accelerators. Familiarity with ML/AI workloads, DNN operators and their mapping onto GPU or accelerator architectures. Experience collaborating with silicon implementation, physical design and DV teams on performance and power sign off.

MediaTek Incorporated is a global fabless semiconductor company that enables nearly 2 billion connected devices a year. We are a market leader in developing innovative systems on chip (SoC) for mobile devices, home entertainment, connectivity and IoT products. MediaTek is the number one Wi Fi supplier across broadband, retail routers, consumer electronics devices and gaming, and its Wi Fi 6 chipsets are powering the latest networking equipment for faster computing experience's. With market leader position of MediaTek SoC design, MediaTek GPU IP team is committed for industry leading, feature rich and PPA competitive GFX IP optimization, customization and development. The GFX IP will be not only deployed in flagship and mainstream mobile SoC, but also served as fundamental technology for adjacent markets like laptop, IoT, AI, VR/AR, automotive etc. The team is now hiring all areas of GPU talents in all levels including Architecture, Architecture, SW driver, Compiler, Performance, Power and Model engineers to join Cambourne, Cambridge. Responsibilities Define and develop best in class GPU architecture and performance/power models for next generation MediaTek SoCs. Build and maintain cycle accurate / performance / functional models of GPU subsystems (e.g., shader cores, fixed function units, memory hierarchy, interconnect). Use modeling and profiling to explore architectural trade offs (performance, power, area) and guide micro architecture decisions. Analyze workloads (games, graphics benchmarks, GPU compute, AI/ML kernels) using simulation and hardware profiling to identify bottlenecks and optimization opportunities. Collaborate closely with model, RTL, DV, driver and compiler and performance teams to ensure architectural intent is correctly implemented, verified and tuned. Provide architectural input to compiler/driver/runtime teams to maximize utilization of GPU hardware through software optimizations. Develop methodologies, tools and automation flows for GPU performance estimation, capacity planning and regression analysis. Lead the debug and root cause analysis of performance, power and bandwidth issues observed in models, emulation and silicon. Drive cross team technical discussions, present modeling results and architectural proposals, and influence roadmap decisions for next generation GPUs. Main Requirements and Qualifications Bachelor, Master's or higher in Computer Science, Electrical/Computer Engineering or a closely related field. Experience in GPU, graphics, high performance compute, AI accelerator, or related architecture/modeling areas. Strong experience with performance and/or cycle accurate modeling, simulation frameworks, or architectural exploration for complex SoCs or accelerators. Solid understanding of graphics and compute APIs such as Vulkan, OpenGL, DirectX and/or GPU compute frameworks (e.g., OpenCL, CUDA, Metal). Proficiency in at least one modeling or implementation language (e.g., C/C++, SystemC, Python) and familiarity with scripting for data analysis and automation. Experience with performance analysis tools, profiling methodologies and workload characterization for games, benchmarks and/or GPU compute workloads. Good written and oral communication skills, with the ability to present complex technical topics clearly and drive consensus across teams. Preferred Qualifications Experience with mobile/low power GPU design and power/performance trade off analysis. Background in compiler, driver, or runtime optimization for GPUs or accelerators. Familiarity with ML/AI workloads, DNN operators and their mapping onto GPU or accelerator architectures. Experience collaborating with silicon implementation, physical design and DV teams on performance and power sign off.

MediaTek Research Lab Inc. in Cambridgeshire seeks a talented engineer to develop GPU architecture and performance models for next-generation SoCs. You will work in a collaborative environment to analyze and optimize GPU subsystems, shaping the future of mobile and connected devices. The ideal candidate holds a degree in Computer Science or Engineering, with experience in GPU and performance modeling. Join us to influence architectural decisions in a thriving tech environment.

Category Chip Design Location Cambourne Experience More than 8 Years Work Expe. Job Description MediaTek Incorporated is a global fabless semiconductor company that enables nearly 2 billion connected devices a year. It is a market leader in developing innovative systems on chip (SoC) for mobile devices, home entertainment, connectivity and IoT products. MediaTek is the number one Wi Fi supplier across broadband, retail routers, consumer electronics devices and gaming, and its Wi Fi 6 chipsets are powering the latest networking equipment for faster computing experiences. With a market leader position in SoC design, MediaTek's GPU IP team is committed to industry leading, feature rich and PPA competitive GFX IP optimization, customization and development. The GFX IP will be deployed in flagship and mainstream mobile SoC and will serve as fundamental technology for adjacent markets such as laptop, IoT, AI, VR/AR and automotive. The team is hiring GPU talents at all levels-including Architecture, SW driver, Compiler, Performance, Power and Model engineers-to join the Cambourne, Cambridge office. Role and Responsibilities Define GPU compiler software architecture and interfaces. Develop and implement GPU compiler pipeline, linking, and various optimizations/transformations. Collaborate with Driver team and HW team to implement new API & HW features. Collaborate with Driver team and HW team to improve and tune performance & power consumption. Execute & deliver to meet milestones and schedules. Analyze and debug code generation issues. Analyze and influence future GPU architectures. Build reliable and trustworthy relationships across teams, both internally and externally. Main Requirements and Qualifications BS, MS or PhD degree or equivalent in Computer Science, Electrical or Computer Engineering, or related majors. Working experience on product compiler, compiler tools such as assembler and linker development. Hands on knowledge/experience of C/C++ programming. Hands on knowledge/experience of state of the art compiler optimization/transformation techniques. Hands on knowledge/experience of LLVM. Strong teamwork skills and execution capability. Strong problem solving, root causing and debugging skills. Preferred skills: Knowledge/experience of GPU/GPU pipeline and GPU architecture. Knowledge/experience of SIMD architecture. Knowledge/experience of D3D, Vulkan/OpenGL, OpenCL APIs. Knowledge/experience of leveraging AI in compiler/tool/optimization development.

MediaTek Research Lab Inc. is looking for talented GPU engineers to work in Cambourne, England. The role involves defining GPU compiler architecture, implementing optimization techniques, and collaborating with hardware teams. Candidates should have advanced degrees in relevant fields and strong C/C++ skills. This position offers an exciting opportunity to work on cutting-edge technology in a dynamic environment, contributing to developments in mobile and AI applications.

Sr. Staff Engineer- GPU Compiler Developer Category: Chip Design Location: Cambourne Experience: More than 6 Years Work Expe. Job Description MediaTek Incorporated is a global fabless semiconductor company that enables nearly 2 billion connected devices a year. We are a market leader in developing innovative systems-on-chip (SoC) for mobile device, home entertainment, connectivity and IoT products. MediaTek is the number one Wi Fi supplier across broadband, retail routers, consumer electronics devices and gaming, and its Wi Fi 6 chipsets are powering the latest networking equipment for faster computing experiences. With market leader position of MediaTek SoC design, MediaTek GPU IP team is committed for industry leading, feature rich and PPA competitive GFX IP optimization, customization and development. The GFX IP will be not only deployed in flagship and mainstream mobile SoC, but also served as fundamental technology for adjacent markets like laptop, IoT, AI, VR/AR, automotive etc. The team is now hiring all areas of GPU talents in all levels including Architecture, Architecture, SW driver, Compiler, Performance, Power and Model engineers to join Cambourne, Cambridge. Role and Responsibilities Define GPU compiler software architecture and interfaces. Development/implement GPU compiler pipeline, linking and various optimizations/transformations. Collaborate with Driver team, HW team to implement new API & HW features. Collaborate with Driver team, HW team to improve/tune performance & power consumption. Execute & deliver to meet milestones/schedules. Analyze and debug code generation issues. Analyze and influence future GPU architectures. Construct reliable & trustable relationships across teams internally & externally. Main Requirements and Qualifications BS, MS or PhD degree or equivalent in Computer Science, Electrical or Computer Engineering or related majors. Working experience on product compiler, compiler tools such as assembler, linker development. Hands on knowledge/experience on C/C++ programming. Hands on knowledge/experience on state of the art compiler optimization/transformation techniques. Hands on knowledge/experience on LLVM. Strong teamwork skill and execution capability. Strong problem solving, root causing and debugging skills. Preferred skills: Knowledge/experience on GPU/GPU pipeline and GPU architecture. Knowledge/experience on SIMD architecture. Knowledge/experience on D3D, Vulkan/OpenGL, OpenCL APIs. Knowledge/experience on leveraging AI in compiler/tool/optimization development.

MediaTek Research Lab Inc. is looking for a Sr. Staff Engineer specializing in GPU compiler development. The role focuses on defining GPU compiler software architecture and implementing optimizations. You will collaborate with hardware and driver teams to enhance performance and develop new API features. The ideal candidate has a BS, MS, or PhD in a relevant field and over 6 years of experience in product compiler development, with strong skills in C/C++ programming and compiler optimization techniques.