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Urgent! Senior Software QA Test Development Engineer - Diagnostics Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA 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.
What you’ll be doing:
+ Responsible for the 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 systems 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.
What we need to see:
+ Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) 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 and 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 and etc…), NLP and LLM benchmarking
+ Experience in using AI development tools for test plans 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 from the crowd:
+ AI related tools, LLM and NLP.
+ Experience working with NVIDIA GPU hardware is a strong plus.
+ Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)
+ Background in parallel programming ideally CUDA/OpenCL is a plus
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing.
If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until September 30, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
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Unlock Your Senior Software Potential: Insight & Career Growth Guide
Real-time Senior Software Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Software in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 218587 jobs in United States and 2928 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior Software roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior Software QA Test Development Engineer Diagnostics to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Software QA Test Development Engineer Diagnostics Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Software QA Test Development Engineer Diagnostics Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Software QA Test Development Engineer Diagnostics typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior Software QA Test Development Engineer Diagnostics interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
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