At a Glance
- Tasks: Design cutting-edge GPU architecture and optimise performance for next-gen MediaTek SoCs.
- Company: Join MediaTek, a global leader in semiconductor innovation and connectivity.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects across various tech domains.
- Why this job: Be at the forefront of technology, shaping the future of mobile and AI devices.
- Qualifications: Degree in Computer Science or Engineering; experience in GPU architecture preferred.
The predicted salary is between 60000 - 84000 £ per year.
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 experiences.
The GFX IP will be deployed in flagship and mainstream mobile SoC, and will also serve 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, 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.
Principal Engineer – GPU Architect in Peterborough employer: MediaTek Research Lab Inc.
MediaTek Incorporated is an exceptional employer, offering a dynamic work environment in Cambourne, Cambridge, where innovation thrives. Employees benefit from a culture that encourages collaboration and creativity, with ample opportunities for professional growth in cutting-edge GPU architecture and technology. Joining MediaTek means being part of a market leader in semiconductor solutions, contributing to impactful projects that shape the future of connected devices.
Contact Details:
MediaTek Research Lab Inc. Recruitment Team
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