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What you will be doing:
One who can manage and lead the Software Quality Assurance team on NVIDIA RTX, Studio product line. Identify strategies and metrics for leading initiatives to continuously improve product quality and your team’s capabilities. Drive a “Zero Defect” goal by constantly striving for test plan improvement and precision.
One who can Develop and implement software testing strategies, plans, and procedures. Collaborate with engineering, program management, marketing, and other internal SWQA teams to discuss requirements, timelines to derive test solutions and proposals. Receive assignments in the form of objectives and identify plans to efficiently use resources to meet schedules and goals.
One who will be providing strategy to automate software functionality, compatibility, security and performance quality coverage.
Apply Machine Learning/Deep Learning techniques to overcome QA and Automation challenges for different Product lines. Based on the domain, build datasets, curate the datasets, automatically enhance the dataset for continuous improved training. Design Convolution Neural Networks (CNNs)/Recurrent Neural Networks (RNNs), Regression Networks or Reinforcement Models for behavioral learning. Build an end to end automation solution which will consume the Neural networks to validate NVIDIA GPUs.
One who can Define Key Objectives and Key Performing Indicators for each objective and achievement. Build Dashboards and Trackers to track Key Performing Indicators. Plan and Complete projects based on Key Objectives, Key Performing Indicators and Milestones. Should be good at visualizing early indicators of success and failure.
One who is able to Demonstrate strong problem-solving skills. Identify risks, call out, and manage them by identifying mitigation plans. Identify more than one proposal as part of a mitigation plan along with pros and cons.
One should be able to Guide team to acquire skills, train on new technologies for quality assurance. Lead by setting example - Be a hands-on manager and develop leadership within the team.
What we need to see:
BE / BTech / ME / MTech / MS / MCA or equivalent experience.
12 overall years of experience with 7 years of leading software testing/software QA team.
5+ years’ experience in core programming languages such asPython/C/C++/Java/Selenium,should have thorough understanding of popular test automation architectures and the best industry practices.
Proficient in using one of the Machine Learning Frameworks like Keras with Tensorflow/Caffe.
Expert in Windows and Linux OS fundamentals and configuration knowledge – Kernel, Networking, Windowing Systems, Commands and Utilities.
Prior experience of crafting test plans for New Features and experience in Multimedia / Virtualization concepts.
Stay updated with the latest trends and technologies in software automation and manual testing and share your knowledge with the team.
Experience in working with Graphics display driver and ability to translate organization goals into QA goals and good written and verbal communication skills - concisely articulate knowledge and ideas.
Excellent analytical skills for fixing and resolving issues and excellent command on Word, Excel, PowerPoint for data analysis and reporting
Ready to work from Pune-India.
Ways to stand out from crowd:
Experience in leading team of Automation and Manual QA Engineers.
Experience in testing ISV and Studio applications like AutoCAD, Adobe, Dassault.
Familiarity with NVIDIA GPU hardware, CUDA, and Deep Learning products is a strong plus. Graphics and Display Concepts – Geometry, Transform, Lighting, Rasterization, Occlusion, Texture & Filtering, Anti-Aliasing, Composition, Refresh Rates, V-Sync, Frame Buffer, Overlays, Display Timing Parameters, Display Heads, OpenGL, EGL.
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