NVIDIA · 6 hours ago
Senior Software Development Engineer in Test - SDET
NVIDIA is seeking a Senior Software Development Engineer in Test (SDET) to join their New GPU Integration team. The role involves developing test plans, automating testing processes, and enhancing testing capabilities using AI tools to ensure high-quality software releases for NVIDIA's compute architecture platforms.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Responsibilities
Develop test plan and orchestrate testing for Compute software releases on all new compute architecture platforms including Tesla GPUs, NVIDIA turnkey systems and OEM systems
Develop a robust test infrastructure incorporating advanced AI tools to significantly enhance our testing capabilities and streamlining operations for more efficient and accurate results
Improve code coverage, elevating the overall quality of our codebase and reliability of our testing processes and develop roadmaps prioritizing software development schedule for full life-cycle of tool development, test, and deployment
Collaborate across teams to identify new features and lead developers in definition, automation implementation, and productization of those features in timely manner
Build and operate key pieces of a complete infrastructure for automation framework development, as well as, lead and develop automation support and participate in automation of manual test cases, working closely with automation infrastructure
Focus on an efficient customer experience by improving both usability and ease to attain optimal performance
Test both software functionality and internal code/structure and run regression tests for existing CUDA/Driver features
Work in a dynamic agile software development team with very high production quality standards
Qualification
Required
BS or MS in Engineering (or equivalent experience) with 5+ years testing SW development cycle
Solid understanding of embedded systems, Linux, Python, C and C++
Very good knowledge of Linux and Windows packages
Proven experience with AI tools for automation and test plan development directly applied to daily tasks. This expertise is crucial for enhancing performance, developing robust frameworks, and increasing test coverage
Strong technical skills, with deep understanding of orchestration & automation systems, data centers and cloud architecture combined
Solid understanding in QA methodology and pay attention to details
Knowledge in Cluster and cluster management
Experience in developing test strategies, high quality test plans and test execution
Proficient in building test setups and fine tuning in HW and SW
Preferred
Experience with Hypervisors is a big plus
Expertise in developing embedded system features, combined with solid knowledge of both software and hardware stacks
Apply AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance
Experience with Configuration and deployment management (Ansible), Containers (Docker) and Virtualization infrastructure software (Xen, KVM)
Good understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson)
Background with parallel programming, ideally CUDA C/C++ and OpenACC
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
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
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