Head of Growth Social & AI leading the commercial launch of a new AI - powered social media offering. Focusing on client acquisition and market positioning in Europe.
NV
Onsite AI Computing Performance Architect Intern, Performance Analysis, Kernel Development
Posted 3 hours ago
About the role
- Performance Architect Intern optimizing major layers and kernels for NVIDIA architectures. Collaborating with teams on in-depth performance analysis and resource optimization.
Responsibilities
- Design, develop, and optimize major layers in LLM (e.g attention, GEMM, inter-GPU communication) for NVIDIA's new architectures.
- Implement and fine-tune kernels to achieve optimal performance on NVIDIA GPUs.
- Conduct in-depth performance analysis of GPU kernels, including Attention and other critical operations.
- Identify bottlenecks, optimize resource utilization, and improve throughput, and power efficiency
- Create and maintain workloads and micro-benchmark suites to evaluate kernel performance across various hardware and software configurations.
- Generate performance projections, comparisons, and detailed analysis reports for internal and external stakeholders.
- Collaborate with architecture, software, and product teams to guide the development of next-generation deep learning hardware and software.
Requirements
- Pursuing BS, MS or PhD in relevant discipline (CS, EE, CE).
- Strong software skills with C/C++, Python, MPI, OpenMP etc.
- Solid computer science (CS) SW & HW arch background.
- Experience of DL workload and operator performance will be a plus.
- Familiarity with GPU computing and parallel programming models will be a plus.
- Excellent oral and written communication skills.
- Good organizational, time management and task prioritization skills.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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