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
Skills Required
- Master’s degree or higher, or equivalent experience, in Computer Science, Electrical Engineering, or Computer Engineering
- Five or more years of quality assurance experience
- Proficiency with Unix/Linux
- Shell and Python programming skills
- Experience with AI development tools for test development and automation
- Basic networking knowledge, including TCP/IP and Layer 2 and Layer 3 protocols
- Strong QA skills, attention to detail, problem-solving, data analysis, quality standards knowledge, and time management
- Excellent written and verbal English communication skills
- Strong interpersonal skills, self-motivation, initiative, innovation, and willingness to learn advanced technology
- Experience with switches, routers, or network interface cards
- Background with Docker, KVM, Hyper-V, VMware, OpenStack, or Kubernetes
- Experience coding with AI tools
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
