Software Engineer - Test Infrastructure & Automation
Nvidia
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2,026 open infrastructure roles across 290 companies are on ApplySarthi right now, most of them in Bengaluru (66), Hyderabad (28), Delhi NCR (12).
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What infrastructure roles keep asking for: AWS (30%), System design (22%), Kubernetes (21%), Python (21%), Observability (19%), Terraform (15%), CI/CD (13%), Linux (12%) — counted across their open postings here.
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Preparing for this interview
Interviews for infrastructure roles keep coming back to AWS, System design, Kubernetes, Python. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Test automation? Tell me one thing you learned the hard way.
- How do you decide what to test when time is short?
- Tell me about a serious bug you caught before release. How did you find it?
- What would you automate first, and what would you keep manual?
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Practise the Software Engineer - Test Infrastructure & Automation at Nvidia interview free →NVIDIA is seeking a passionate Software Engineer for our Workstation Automated Test Lab team in Würselen, Germany (on-site) to develop and maintain test automation infrastructure along with quality / performance test suites. If you become part of this team, you will be working with state-of-the-art GPUs, top-rated Workstation applications, and collaborating with some of the best software engineers both inside NVIDIA and with our partners around the world. Our automated testing plays a vital role in maintaining the quality and leading performance expected by our customers. If this challenge sounds interesting, then this role may be a great fit for you! The ability to work in a dynamic, solution-centric environment with excellent interpersonal skills is expected to be successful in this role. What you’ll be doing: We are continually developing and evaluating new benchmarks, new test suites, and new API extensions; all of these need proper automated testing. A key part of the job is to analyze, automate and integrate these tests and other industry standard quality and benchmark suites into our existing infrastructure. You will help us find creative ways to script the applications to ensure accuracy, reliability and repeatability. Collaborating with automation and test infrastructure teams across the company to standardize and modernize automation infrastructure (including HW) and test analysis tools is another exciting aspect of the role. You will also support the maintenance and upgrade of our lab hardware infrastructure, keeping test systems current with the latest platforms and ensuring they remain healthy, available, and ready for automated testing. A regular stream of new applications, operating systems, CPUs, and GPUs present many opportunities to learn and grow your skills and career. Collaborate with other outstanding NVIDIA engineers to make a difference in the industry! What we need to see: Bachelor’s degree (or equivalent experience) or higher degree in computer science, electrical engineering, or computer engineering, or a technical degree. 2+ years of relevant proven experience in software development including web development with the ability to write high quality, well-tested and well-designed code. Programming experience in Python and its associated libraries, experience in other scripting and general purpose programming languages is a definite plus. Hands-on experience with modern AI tools and their applicability in software life cycle including development, review, verification and deployment. Understanding of test automation infrastructure, framework and test analysis. Experience working with Databases (SQL/NoSQL) and Source Code management (Git, SVN & Perforce). Experience with the Microsoft Windows and Linux operating system environments: administration and development preferably in a virtualized environment. Strong contributor with excellent communication skills in English and proficiency in German is a plus. Ways to stand out from the crowd: Knowledge of statistics, including variance analysis Familiarity with deep learning framework like TensorFlow, Keras and PyTorch Experience with graphics and/or compute APIs such as OpenGL, Direct3D, Vulkan, CUDA or OpenCL NVIDIA is 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. If you're creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Listed on workday · posted 2026-09-23. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.