Performance Modelling Engineer (CPU) : Cambridge
Cambridge, East of England 5 days ago
Job Description
You will design, implement, and refine performance models that accurately predict CPU microarchitecture behavior, maintaining in:house toolchains for cycle:accurate, trace:driven, or statistical simulations. Leveraging these models, you will assess the feasibility and cost:benefit trade:offs of new CPU features by conducting in:depth performance and power analyses. This includes developing new methodologies, automating workflows, and creating intuitive visualizations to reveal bottlenecks and guide optimizations. Working closely with architects, software engineers, and a global community of performance modeling experts, you will collaborate on design reviews, share best practices, and continuously improve our modeling strategies to inform next:generation CPU innovations.
Required:
Bachelor's (BS) or Master's (MS) degree in Computer Science, Electrical Engineering, or related fields, with coursework or relevant experience in Computer Architecture.
Prior hands:on experience in performance modeling and analysis of CPU microarchitecture.
Familiarity with cycle:accurate, cycle:approximate or functional simulators, microarchitecture pipelines, and common performance metrics.
Strong proficiency in C/C++ for large:scale software development, with working knowledge of Python for scripting and data analysis.
Excellent interpersonal skills, with a track record of working collaboratively in multi:disciplinary teams.
Able to communicate technical concepts clearly to both technical and non:technical audiences.
Desired:
Experience with power models and cache system models.
Strong software development experience, including design specification, coding, testing, and debugging.
Experience with, or understanding of, Arm architectures (e.g., Armv8:A, Armv9:A).
Exposure to microarchitecture:level performance counters, or hardware:software co:optimization.
Experience with RTL and SystemC simulators.
Knowledge of System Architecture/Software.
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