Manager, Tools and Development

3 Months ago • 12 Years + • Quality Assurance

Job Summary

Job Description

NVIDIA seeks a Software QA Manager to lead the Workstation QA team, ensuring the quality of RTX and Studio products. Responsibilities include developing and implementing software testing strategies, driving a 'Zero Defect' goal, and leveraging ML/DL techniques for automation. The role involves managing a team, collaborating with cross-functional teams, defining KPIs, and building dashboards. Proficiency in programming languages (Python/C/C++/Java/Selenium), ML frameworks (Keras, TensorFlow), and expertise in Windows/Linux OS are crucial. Experience with graphics drivers and ISV applications is highly desirable.
Must have:
  • Lead Software QA team
  • Develop testing strategies
  • Implement automation using ML/DL
  • Define KPIs and track progress
  • Proficient in programming and ML frameworks
  • Experience with graphics drivers and OS
Good to have:
  • Experience testing ISV applications (AutoCAD, Adobe, Dassault)
  • Familiarity with NVIDIA GPU hardware, CUDA, and Deep Learning products
  • Knowledge of graphics and display concepts
Perks:
  • Competitive salaries
  • Generous benefits package

Job Details

NVIDIA is looking for a Software QA Manager to join the NVIDIA-Workstation QA Team! You will play an exciting role that allows you to manage world class QA team and take full ownership of quality of NVIDIA RTX, Studio product line. These Products are Designed to accelerate professional workflow, advanced enterprise features and certification for over 100+ professional applications. You will be involved in participating in developing and implement software testing strategies, plans, and procedures for new and existing features to achieve “Zero Defect” goal.

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 as Python/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.

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 versatile people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're creative with a real passion for technology, 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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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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