Senior Software SDET Test Development Engineer

NVIDIA is the world leader in GPU Computing. We are passionate about markets including 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. Responsibilities Development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc. Installing and testing various system OS, server firmware and SW stack. Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation. Build, develop/debug server and OS level automation front‑end and back‑end framework and tests. Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed. Work in an agile software development team with very high production quality standards. Manage bug lifecycle and collaborate with inter‑groups to drive for solutions. Qualifications Bachelor’s Degree (or equivalent experience) in a STEM field. 5+ years proven experience; or master’s degree. Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript. Strong server and Linux (Ubuntu, RedHat, CentOS, SuSE, Fedora, etc.) troubleshooting and debugging experience in a bare‑metal and KVM/VMware/Hyper‑V environment. Good knowledge and hands‑on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor, etc.), NLP and LLM benchmarking. Experience in using AI development tools for test plan creation, test cases development and test cases automation. Strong 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. Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker – huge plus. Ways to Stand Out Experience with AI related tools, LLM and NLP. Experience working with NVIDIA GPU hardware is a strong plus. Good understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes). Background in parallel programming ideally CUDA/OpenCL is a plus. Benefits and Salary With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. Your 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 Level3, and 168,000 USD - 270,250 USD for Level4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April14, 2026. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr NVIDIA Gruppe