GPU Performance Architect

We 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).

Lenovo is hiring a Performance Architect for the GPU cluster solutions we develop for the Cloud Service Provider market.

Location: Morrisville, NC

What You'll Do

• Design and implement methodologies, architectures, software frameworks and tools for the deployment, management, evaluation, and testing of Lenovo's GPU cluster solutions
• Design and implement performance benchmarks and workloads, and conduct performance evaluation and tuning for the compute, network, and storage subsystems and the entire cluster solutions
• Analyze performance issues, implement solutions, and create reference designs for internal teams and customers
• Collaborate with cross-functional teams and contribute to business projects and customer engagements

Basic Qualifications

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or other related fields
• 5+ years of experience in performance benchmarking and analysis
• Experience with compute architecture (CPU, GPU, PCIe, memory, network, storage, etc.) and system software (Linux kernel, CUDA, MPI, NCCL, RCCL, UCX, etc.)
• Experience with AI benchmarks, applications, and machine learning frameworks such as PyTorch and TensorFlow
• Experience with C/C++, Python, Go, shell scripting

Preferred Qualifications

• PhD in Computer Science or Computer Engineering
• Experience with AI workload performance analysis in production environments
• Experience with datacenter network performance evaluation and optimization
• Ability to innovate and publish at top conferences
• Strong communication skills
• Ability to learn new technologies and concepts quickly
• Innovative mindset with the ability to think outside the box