ApplySarthi

Senior DPU Test Development Engineer, SDET

Nvidia

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Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Linux? Tell me one thing you learned the hard way.
  3. Tell me about a serious bug you caught before release. How did you find it?
  4. What would you automate first, and what would you keep manual?
  5. How do you write a bug report that a developer can act on straight away?

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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/VNET/VBLK) and E-W RDMA/PRDMA China local customer support admin 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. What we need to see: MS or higher degree or equivalent experience in CS/EE/CE with 5+ years QA experience. Proficient in Unix/Linux and shell/python programming skills. Solid experience with AI development tools for test development and automation Proficient in basic networking knowledge, good at TCP/IP protocols, well-versed in Layer 2 and Layer 3 network protocols Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc. Excellent communicator, fluent written and verbal English. Good interpersonal skills, quick learner, proactive, innovative, and committed. Strongly self-motivated with a passion to learn new hardcore technology. Ways to stand out from the crowd: Experience working with switch, router, NIC is a plus Background with virtualization technologies (Docker, KVM, HyperV, VMWARE, OpenStack, Kubernetes) Coding with AI tools

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Listed on workday · posted 2026-09-26. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.