Join a global technology organisation researching and developing next-generation high-performance computing architectures and microarchitectural innovations. Operating at the forefront of semiconductor innovation, silicon design, and workload acceleration, the company is building foundational CPU architectures designed to power compute-intensive workloads from Generative AI to confidential computing systems.
This principal-level individual contributor role offers the opportunity to lead long-term architectural pathfinding and shape the microarchitectural roadmap for future high-performance processors. The position combines ISA evolution, deep out-of-order pipeline execution, hardware-software co-design, cycle-accurate simulation, and performance-power-area optimization.
This is an on-site position in Cambridge, UK.
Role Overview
You will take technical ownership of defining next-generation processor concepts years ahead of commercial silicon production on-site in Cambridge.
Your responsibilities will span the entire architectural pathfinding lifecycle—from evaluating emerging AI and graph analytics workloads to designing advanced execution pipelines, refining memory hierarchies, developing cycle-accurate simulator platforms, and collaborating with toolchain teams to drive hardware-software co-design.
Key Responsibilities
- Lead architectural pathfinding and formulate long-range microarchitectural roadmaps for high-performance CPU cores.
- Architect advanced microarchitecture concepts covering fetch/decode units, out-of-order execution, speculative execution, register renaming, and multi-level cache coherency.
- Define and evaluate new ISA capabilities, including specialized vector/matrix extensions, exception models, and confidential compute features.
- Profile emerging workloads (LLMs, Generative AI, graph processing) and convert software bottlenecks into microarchitectural requirements.
- Drive hardware-software co-design efforts alongside compiler, kernel, and system software engineering teams.
- Guide the construction and maintenance of cycle-accurate CPU simulation models using C++ and Python.
- Perform rigorous performance, power, and area (PPA) trade-off analysis using simulation traces and workload profiling tools.
Required Experience
- Extensive background in high-performance CPU microarchitecture definition, execution pipelines, and cache/memory hierarchy design.
- Master’s or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
- Deep mastery of out-of-order execution, branch prediction, memory consistency models, virtualisation, and cache coherency protocols.
- Proven experience building, extending, and utilizing cycle-accurate CPU simulators (C, C++, Python) for microarchitectural exploration.
- Strong background in workload profiling, performance trace analysis, and metrics evaluation using tools such as Perf, VTune, or SimPoints.
- Preferred: Track record of bringing multiple high-performance CPU designs from concept through silicon tape-out.
- Preferred: Deep knowledge of x86, Arm, or RISC-V architectures, or active contributions to open ISA communities, LLVM, or GCC.
- Preferred: Exposure to advanced semiconductor packaging technologies, including chiplets and 3D stacking.
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Senior Principal CPU Architect - Microarchitecture / x86 / RISC-V / C++ / C in Cambridge employer: European Tech Recruit
Join a world-leading technology innovator that champions creativity and collaboration in the heart of the UK. As a Software Engineer focusing on Machine Learning, you'll thrive in a dynamic work culture that prioritises innovation and professional growth, offering you the chance to work on cutting-edge GPU architecture while enjoying competitive PAYE contract benefits. With a commitment to employee development and a vibrant team atmosphere, this is an exceptional opportunity for those looking to make a significant impact in the tech industry.