英伟达DPU Test Dev Engineering Intern, Networking - 2026

NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you.We are now looking for a Software QA Test Development Engineer, you will collaborate with multi-functional groups. SWQA test developer engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA engineer can improve productivity or optimize test plan. As a SWQA test developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. What you’ll be doing: • Be responsible for executing test cases to validate NVIDIA enterprise offerings, such as BlueField DPU (SOC/ASAP/VDPA/VFE/VirtIO) • Automate test cases and maintain the automation scripts. • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, and improve test plans. • Assist AE team to repro customer issue locally.

NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you.We are now looking for a Software QA Test Development Engineer, you will collaborate with multi-functional groups. SWQA test developer engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA engineer can improve productivity or optimize test plan. As a SWQA test developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. What you’ll be doing: • Be responsible for executing test cases to validate NVIDIA enterprise offerings, such as BlueField DPU (SOC/ASAP/VDPA/VFE/VirtIO) • Automate test cases and maintain the automation scripts. • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, and improve test plans. • Assist AE team to repro customer issue locally.

• Contribute to design review and product features requirements under the whole Ethernet/ NIC/DPU/Switch portfolio. Design and build setup topologies with an emphasis on an emulation of customer large scale / complex environments. • Collaborating closely with multi-functional teams, including hardware engineers, software developers, and domain experts, to deliver optimized solutions that meet the demanding requirements of AI workloads. • Design, mentorship for testing automation team to implement tests. Generate comprehensive test reports during release execution procedure, assist with reproduction and debugs complex customer use cases, with determination of the issue root cause, be an engineering PIC for the full verification cycles of the customer use cases. • Complete end-to-end test scenarios in different scopes: Regression, Performance, Functional and Scale; Report the progress of testing and provide summary reports of testing activity. • Profiling, Benchmarking, and Analyzing Deep Learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects. • Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

1. 梳理手机显示链路的处理流程，包含图形GPU/DPU/屏显DDIC/OLED硬件等，拆解链路各节点的显示指标影响因素，并制定测试标准； 2. 主导负责对手机的软硬件新需求分析，识别关键风险点，同时构建测试方案和测试策略，确保顺利上市； 3. 负责手机显示效果主客观评测，分析行业竞品的显示优劣势，驱动问题解决闭环，保障产品上市的质量和竞争力； 4. 系统分析及洞察用户TopN痛点问题，建立问题根因，升级测试用例和标准，指引显示效果调试优化改善。