Software QA Test Developer - Windows Devices Validation

Job description

Move the needle in testing NVIDIA's SoC (Post Si) Validation team! As a highly skilled and motivated SW QA Test Developer you will push the boundaries for testing and automation. This role offers an outstanding opportunity to leave your mark on our verification strategy and influence our future test automation system. What you'll be doing: You will have a unique opportunity to push the boundaries and ensure the perfect performance of NVIDIA's SoC. Your contributions will directly impact the verification strategy and quality of various products. Priorities do often change in a fast-paced environment like ours. Some of the exciting things you will work on are: Developing new and extending existing test strategies to guarantee the highest level of quality from both Stress & Stability and Performance perspectives. Your innovative approach will ensure that our products meet the standards expected from a world-class product. Designing and developing software that automates the verification of all SoC HW and SW components. Your expertise in developing efficient and reliable automation tools will play a crucial role in streamlining our testing processes. Collaborating with multiple development, verification, and customer-facing teams to gain a comprehensive understanding of products and their real-world applications. Your ability to collaborate effectively is essential for driving continuous improvement. Analyzing and root-causing issues down to the code level, leading the defect fixing process, and providing effective fixes. Your strong problem-solving skills will allow you to address challenges with efficiency and precision. What we need to see: Bachelor's/Master's degree or equivalent experience in Electronics, Computer Science, or related fields. Must have 2+ years of professional experience in Windows devices or SoC HW/SW validation. Proficiency in Windows OS. Skilled in the Python programming language. Experience using source control systems such as Gerrit and Gitlab. Experience in using AI coding assistants to improve coding efficiency and correctness. Strong interpersonal and communication skills are essential. Strong analytical skills. Your keen eye for detail and ability to analyze complex issues will enable you to proactively identify and resolve potential challenges. Ways to stand out from the crowd: Proficient in Mobile/Server SOC HW/SW Stress Stability testing (MTBF, DPPM, etc.), automation and dashboard creations. Experience in developing AI-based test solutions