Senior Software QA Test Development Engineer - Diagnostics

NVIDIA

United States

United States

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À propos

divh2NVIDIA Platform SWQA Team Member/h2pNVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, 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 Deep Learning software frameworks, analytics, 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 hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team./ph3What Youll Be Doing/h3olliResponsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc./liliInstalling and testing various systems OS, server firmware and SW stack./liliDrive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation./liliBuild, develop/debug server and OS level automation front-end and back-end framework and tests/liliReview partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed./liliWork in an agile software development team with very high production quality standards./liliManage bug lifecycle and collaborate with inter-groups to drive for solutions./li/olh3What We Need To See/h3ulliBachelors Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field/lili5+ years proven experience; or masters degree./liliProven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript/liliStrong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment./liliGood knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc), NLP and LLM benchmarking/liliExperience in using AI development tools for test plans creation, test cases development and test cases automation/liliStrong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus/liliProven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) huge plus/li/ulh3Ways To Stand Out From The Crowd/h3ulliAI related tools, LLM and NLP./liliExperience working with NVIDIA GPU hardware is a strong plus./liliGood to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)/liliBackground in parallel programming ideally CUDA/OpenCL is a plus/li/ulpYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4./ppYou will also be eligible for equity and benefits./p/div

United States

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