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For Companies At a Glance
- Tasks: Join our team to model and simulate performance for cutting-edge server CPUs and AI workloads.
- Company: Huawei is a global leader in ICT solutions, driving innovation across 170 countries.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be part of groundbreaking projects that shape the future of technology and AI.
- Qualifications: Strong understanding of CPU architecture, proficiency in C/C++, and experience with performance analysis tools.
- Other info: This role offers a chance to work with top researchers in a leading R&D organisation.
The predicted salary is between 28800 - 48000 £ per year.
Organisation/Company Huawei UK Research Center Research Field Computer science » Computer architecture Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established Researcher (R3) Country United Kingdom Application Deadline 31 Jul 2025 – 00:00 (UTC) Type of Contract To be defined Job Status Negotiable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Graduate Performance Engineer (Workload Modelling and Simulation)
About Huawei
With a bold vision of bringing digital to every person, home, and organization for a fully connected, intelligent world, Huawei stands as a global leader in ICT solutions. Our workforce of 194,000 spans over 170 countries, crafting unparalleled experiences in telecom networks, IT, smart devices, and cloud services.
About Huawei UK (R&D)
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
We are seeking a highly motivated and enthusiastic Graduate Performance Engineer to join our dynamic workload modelling team. In this role, you will have the opportunity to work on cutting-edge projects involving performance projection, simulation, and architectural studies, with a focus on server CPUs, NPUs, and AI workloads. As a Graduate Performance Engineer, you will contribute to the development of performance models for upcoming server processors and accelerators, support architectural studies, and drive software/hardware co-optimization for next-generation systems.
Key Responsibilities:
Develop and enhance simulation features to enable rapid architectural exploration and performance evaluation of server CPUs and NPUs, focusing on AI and large-scale data analytics workloads.
Conduct in-depth performance projections for various workloads, including databases, distributed storage, and engines for AI and data analytics.
Contribute to architectural studies to explore and evaluate the latest server CPU core and SOC designs.
Work on characterizing workloads and developing methodologies for tracing and optimizing AI models to enhance simulation and performance analysis.
Construct a non-intrusive, highly accurate system for characterizing and modelling complex workloads, ensuring precise workload representation.
Collaborate with cross-functional teams to extract and analyze real-world workload features, contributing vital data for hardware development.
Ideal Candidate:
Strong understanding of CPU architecture and micro-architecture performance techniques (e.g., branch prediction, prefetchers, cache hierarchies).
Proficient in performance analysis and workload characterization, with hands-on experience in methodologies for system-level architectural exploration.
Experience in developing using dynamic binary instrumentation infrastructures like QEMU or DynamoRIO or x86 PIN.
Proficiency in C/C++, with a solid understanding of Assembly Language.
Experience with Python and other scripting languages to support automation, data processing, and tool development.
Excellent analytical and problem-solving skills with the ability to work both independently and as part of a team.
Considered as a plus
Experience in compiler technologies, binary analysis, and performance tuning.
Experience in developing and using performance simulators like GEM5 (O3 model), Sniper or others
Knowledge of AI workloads and the challenges involved in optimizing large-scale models for performance simulation.
Experience in Linux kernel development, including knowledge of kernel internals.
Hands-on experience in CPU performance analysis, utilizing methodologies such as PMU-based profiling and TopDown Analysis, and proficiency with performance analysis tools like Linux perf.
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Graduate Performance Engineer employer: European Commission
Contact Detail:
European Commission Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Performance Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in CPU architecture and performance techniques. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field, making you a more attractive candidate.
✨Tip Number 2
Engage with online communities or forums related to performance engineering and workload modelling. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for job openings at Huawei.
✨Tip Number 3
Consider working on personal projects that involve performance analysis or workload characterisation. Showcasing these projects in discussions or interviews can highlight your practical skills and passion for the role.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems relevant to performance engineering. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Graduate Performance Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you thoroughly understand the responsibilities and requirements of the Graduate Performance Engineer position. Familiarise yourself with workload modelling, simulation, and performance analysis to tailor your application effectively.
Highlight Relevant Skills: In your CV and cover letter, emphasise your understanding of CPU architecture, performance techniques, and any hands-on experience with tools like QEMU or GEM5. Be specific about your programming skills in C/C++ and Python, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for Huawei's vision of a fully connected world. Mention how your background aligns with their goals and how you can contribute to their innovative projects.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are essential qualities for a Graduate Performance Engineer.
How to prepare for a job interview at European Commission
✨Showcase Your Technical Knowledge
Make sure to brush up on your understanding of CPU architecture and micro-architecture performance techniques. Be prepared to discuss specific examples from your studies or projects that demonstrate your proficiency in these areas.
✨Demonstrate Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or technical problems related to workload modelling and simulation. Think aloud as you work through these problems to showcase your analytical thinking and problem-solving approach.
✨Highlight Relevant Experience
If you've worked with performance analysis tools or have experience in developing using dynamic binary instrumentation infrastructures, make sure to mention this. Relate your past experiences to the responsibilities of the Graduate Performance Engineer role.
✨Prepare Questions for the Interviewers
Have a few insightful questions ready to ask your interviewers about the team, ongoing projects, or future directions of Huawei's research. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
