英伟达GPU Workload Analysis Intern - 2026

任职要求

• Good communication and problem analysis ability
• Shown knowledge of DL algorithms
• Experience of training and fine-tuning model
• Experience of building and improving …

工作职责

GPU System Architect team’s work scope covers whole GPU pipeline(graphics, compute pipeline, memory system) and multi GPU, CPU and CPU interconnection, which provides good opportunity to deeply learn the latest cross unit new features in the new GPU architectures. The team works as the safety net of the chip. We catch function bugs in the HW by randomly generating tests and running them in various pre-silicon full chip platforms and debugging the failures. This works provides a good full chip view of GPU and has a big space to innovate.



What you’ll be doing:

• Get familiar with various GPU workload’s composition
• Learn about what’s the usual feature metrics for GPU workload
• Design and implement inventive solution to efficiently extract features from GPU workload
• Verify the solution using direct and random GPU workload
• Design and implement inventive solution simplify GPU workload while keeping the required features
• Design and implement inventive solution to generate GPU workload according to required features
• Design and implement inventive solution to generate GPU workload which has the same feature with a given test and randomize other (required) features
• Thoroughly verify the solution on GPU functional simulator/full chip RTL/emulation/silicon platform.
• Provide detailed and organized documentation and report out for the project.