Performance Modelling Engineer at Huawei Technologies Greece

Cambridge, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Performance Modeling, CPU Microarchitecture, C++, Python, Computer Architecture, Simulation, Workload Characterization, Power Analysis, Arm Architecture, SystemC, RTL, Data Analysis

Industry

Telecommunications

Description

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric, Inspiring dedication, Persevering, Growing by reflection. Huawei Research and Development UK Limited Overview Huawei’s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Huawei’s UK Research Center is seeking a Performance Modeling Engineer to join our growing CPU Architecture team. You will be at the forefront of pioneering next-generation CPU innovations and guiding Huawei’s architectural roadmap. Using advanced modeling, simulation, and workload characterization techniques, you will evaluate potential hardware design choices, quantify their trade-offs, and provide data-driven insights that shape upcoming CPU features. Key Responsibilities: 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. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Person Specification: 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.

Responsibilities

Design and implement performance models to predict CPU microarchitecture behavior and evaluate hardware design trade-offs. Collaborate with architects and engineers to provide data-driven insights for next-generation CPU features.