Job Description

HPC Performance and Benchmark EngineerGeneral InformationReq #WD00081715Career area:ServicesCountry/Region:United KingdomState:HampshireCity:FarnboroughDate:Monday, May 5, 2025Working time:Full-timeAdditional Locations:

• Spain - Madrid - Madrid

• United Kingdom - Hampshire - Farnborough

• Italy - Milano - San Felice Segrate

Why Work at LenovoWe are Lenovo. We do what we say. We own what we do. We WOW our customers.Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our .Description and RequirementsBuilding on our breakthrough performance in high-performance computing (HPC) and our expanding global HPC customer base, Lenovo is enhancing our global HPC/AI team with specialist performance engineers. We aim to lead the next generation of air and Neptune liquid-cooled high-performance computational platforms. To achieve this mission, we are looking for a motivated and innovative HPC/AI Performance Engineer to join our team. This role involves rigorous testing of our systems at scale to ensure optimal performance helping us to build some of the worldxe2x80x99s most impactful HPC systems to help solve humanityxe2x80x99s greatest challenges.You will report to the HPC Performance and Benchmarking team, supporting customers worldwide. Your role will involve participating in both virtual and in-person meetings with team members, sellers, architects, and customers. Occasionally, you may need to attend customer sites.What You will do:

• Execute HPC/AI benchmarks using Lenovo technologies and prepare reports related to customer RFPs.
• Investigate and resolve computational performance issues related to HPC/AL applications and Lenovo servers.
• Support delivery of Lenovo Solutions, including reference architectures and validated designs.
• Analyse and characterise scientific codes and build performance extrapolation to future generation of HPC/AI hardware.
• Interact with customers and the Lenovo sales team to offer insight into workload performance characteristics that drive system configurations.
• Complete competitive comparison studies of different technologies to showcase Intel technology advantages.
• Develop seller enablement collateral for Lenovo Sellers and Business Partners, and participate in sales enablement activities.
• Attend conferences and workshops relevant to HPC and stay current with HPC trends.

What you bring:

• Bachelorxe2x80x99s degree in Computer Science or relevant experience. Candidates from scientific backgrounds such as physics, maths and other analytical sciences are welcomed, as well as someone who just completed their PhD degree.
• 3+ years of experience working with Linux; with scientific code and performance tuning.
• 2+ years of experience of scripting and coding, with specific experience of more than one of: bash, python, C++, C, Fortran.
• 1+ years of experience with High Performance Computing or Artificial Intelligence technology, including servers, Infiniband interconnects, high performance Ethernet and accelerators.
• 1+ years of experience of more than one of: HPL, Stream, IMB/OSU, TensorFlow, PyTorch, MLperf.
• 1+ years of experience of using parallel and/or accelerated applications using more than one of OneAPI, Intel Gaudi software suite, OpenMP, MPI, CUDA, ROCm, OpenCL, SYCL.

We will also consider candidates who lack some of the requirements but can demonstrate ability to learn quickly.The following competencies are welcome:

• Experience of running performance tests and benchmarking codes.
• Experience of using or developing parallel and/or accelerated applications using more than one of OpenMP, MPI, CUDA, ROCm, OpenCL, SYCL paradigms.
• Experience of production HPC environment: large-scale filesystems (ideally Storage Scale), batch scheduling (ideally SLURM) as well as common HPC SW and management tools.
• Experience with analysis and profiling tools for HPC/AI codes: Intel OneAPI suite (Vtunexe2x80xa6), AMD (uProf), nVidia toolkit.
• HPC application characterization.
• Performance optimization of HPC or AI codes.
• Experience with DevOps automation, configuration management and CI/CD.
• Knowledge and experience working with container-based applications.
• Project management notion.

What We can offer You:

• Opportunities for career development & growth
• Access to various training
• Performance-based rewards
• Flexible working environment (combination of working from home/office)

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.Additional Locations:

• Spain - Madrid - Madrid

• United Kingdom - Hampshire - Farnborough

• Italy - Milano - San Felice Segrate

• Italy, * Spain, * United Kingdom

• Italy - Milano , * Spain - Madrid , * United Kingdom - Hampshire

• Spain - Madrid - Madrid , * United Kingdom - Hampshire - Farnborough , * Italy - Milano - San Felice Segrate

AI PROCESSING NOTICEWe use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.

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