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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).
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Description and Requirements
About Our Team
We are hiring a AI GPU Performance Engineer to work in Lenovo's Cloud Service Provide Group (CSP). This is a fast-paced customer-centric organization that will adapt to changing market demands to serve customer needs.
What You'll Do
- Design and develop software solutions for GPU cluster architecture and performance validation.
- Manage and maintain code bases, ensuring high-quality standards and efficient version control.
- Collaborate with cross-functional teams to work on OS, network, and hardware components.
- Troubleshoot and resolve software, OS, network, and hardware issues.
- Clearly document designs, processes, and protocols.
- Present information to internal cross-functional teams and customers.
Basic Qualifications
- BS/MS in Electrical Engineering or Computer Science with 4+ years work experience or PhD in EE or CS
- 3+ years of experience with C++ or Python programming
- Understanding CPU, GPU, PCIe and Network architectures and low-level optimization techniques, memory hierarchy and instruction scheduling
- Experience with using communication libraries such as MPI, NCCL, RCCL or UCX.
- Experience with machine learning frameworks such as PyTorch and TensorFlow,
- Experience in high-performance computing (HPC)
Preferred Qualifications
- Understanding of AI training workloads and demands on networks.
- Understanding of RDMA congestion control mechanisms on IB and RoCE Networks.
- Understanding of the latest artificial intelligence (AI) technologies.
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:
* United States of America - North Carolina - Morrisville