NVIDIA · 10 hours ago
Senior Software Test Development Engineer - Deep Learning
US, CA, Santa Clara
Full-time
Onsite
Senior Level
$140K/yr - $270K/yr
6+ years expNVIDIA is a leading company in the field of AI and Deep Learning, and they are seeking a Senior Software Test Development Engineer to join their Deep Learning SWQA team. The role involves validating the robustness and performance of NVIDIA's Deep Learning software and collaborating with various AI product teams to improve testing processes and product quality.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Work closely with global multi-functional teams to understand the test requirements and take ownership of product quality
Plan/design/implement/report/automate test plan/test case/test reports
Run bug lifecycle and co-work with inter-groups to work towards solutions
Automate test cases and assist in the architecture, crafting and implementing of test frameworks
In-house repro and verify customer issues/fixes
Qualification
Required
BS or higher in CS/EE/CE or equivalent experience
6+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills
Scripting language (Python, Perl, Bash) knowledge and UNIX/Linux experience
Good C/C++ software development or test development experience
Good user/development experiences of virtualization like VM & Docker container
Understanding and working knowledge with any Deep Learning Framework and models especially in end-to-end customer scenarios
Experience in validating Deep Learning software and Deep Learning models
Experience in using AI development tools for test plans creation, test cases development and test cases automation
Able to balance conflicting/changing priorities and maintain a positive attitude while experiencing ambitious and dynamic schedules
Excellent English written and oral communication skills
Preferred
Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc.); working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning
Background in building models and AI-based infrastructure to improve test automation
Experience with LLM inference frameworks (TRT-LLM, vLLM, SGLang, etc.) and familiar with running various AI workloads
Background in validating Data Center GPU based infrastructure (multi-GPUS, multi-nodes, cluster)
Experience in VectorCAST, Bullseye, Gcov, or Coverity tools
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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