Lenovo
Application Benchmarker

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We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 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 www.lenovo.com, and read about the latest news via our StoryHub.
Lenovo is a global leader in AI infrastructure, high-performance computing, and data centre technologies, helping customers build and scale next-generation accelerated computing environments. As part of the Lenovo Infrastructure Deployment Services (LIDS) team, you will support the validation, benchmarking, and optimisation of large-scale HPC and AI solutions for some of Lenovo's most strategic global customers.
In this role, you will execute performance testing, analyse benchmark results, and provide optimisation recommendations across cutting-edge HPC and AI environments, working closely with customers, architects, consultants, and engineering teams. You will be part of a global team supporting EMEA and worldwide projects and will report directly to the Global HPC Delivery Leader.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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What You Will Do
- Validate, benchmark, and optimize large-scale HPC and AI platforms, ensuring systems meet performance targets, customer expectations, and acceptance criteria.
- Design and execute benchmarking and performance test plans across compute, storage, networking, GPUs, and AI workloads, then analyze and present results.
- Profile applications, identify performance bottlenecks, and provide practical optimization recommendations for HPC, AI, and GPU-accelerated environments.
- Work with industry-standard HPC benchmarks, AI training and inference workloads, MPI-based applications, storage testing tools, and large-scale cluster validation processes.
- Partner closely with customers, solution architects, technical consultants, delivery teams, and technology partners to support successful solution deployment and operational readiness.
- Contribute to the development of benchmarking methodologies, best practices, technical documentation, training materials, and knowledge-sharing initiatives that strengthen Lenovo’s global HPC and AI capabilities.
What You Will Bring
- Strong experience with High Performance Computing (HPC) environments, including cluster architectures, Linux administration, job scheduling, and distributed computing.
- Proven ability to execute, analyse, and optimise HPC benchmarks and performance validation tests across compute, storage, and networking infrastructure.
- Solid knowledge of parallel computing technologies, including MPI, OpenMP, CUDA, NCCL, and GPU-accelerated applications.
- Experience benchmarking and tuning scientific, engineering, AI, and data analytics workloads on large-scale HPC platforms.
- Strong understanding of NVIDIA GPU technologies and architectures, including H100, H200, B200, and GB200/GB300.
- Hands-on experience with high-performance networking technologies such as InfiniBand and RoCEv2.
- Expertise with industry-standard benchmark suites including HPL, HPL-MxP, HPCG, IO500, MLPerf, STREAM, FIO, IOR, and NCCL tests.
- Knowledge of Top500, Green500, customer acceptance testing methodologies, and HPC performance benchmarking best practices.
- Experience working with HPC storage solutions such as Lustre, GPFS (IBM Storage Scale), BeeGFS, VAST, WEKA, or similar parallel file systems.
- Strong Linux skills across RHEL, Rocky Linux, and Ubuntu, combined with shell scripting for automation, benchmark execution, and performance analysis.
- Ability to identify performance bottlenecks, deliver optimisation recommendations, and create customer-facing benchmark reports, technical documentation, and performance studies.
- Excellent communication and problem-solving skills, with the ability to work directly with customers, architects, and engineering teams; experience with AI infrastructure benchmarking, LLMs, PyTorch, TensorFlow, Kubernetes, OpenShift, cloud HPC (Azure/AWS/GCP), Python automation, GPU profiling tools, and enterprise AI acceptance testing is highly desirable.


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What We Will Offer You
- Holiday purchase
- Private medical
- Income protection
- Attractive pension scheme
- Positive work life balance
- Learning and development
- Life insurance
- Lenovo and Motorola products discounts
- Lifestyle discounts
- Cycle to work
- MyGymDiscounts
- Mortgage advice and support
- Referral bonus
- Free onsite parking
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.
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