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Tier-1 brand, mid-level experience requirement, and metro location increase candidate competition.
Requires gaming, GPU, drivers, and platform-specific QA skills, limiting cross-industry transferability.
Explicit years, mandatory Python, AI-agent skills, and platform-specific expertise create strict shortlisting filters.
Design, implement, and maintain Python-based automated tests and automation frameworks for NVIDIA App across Windows and Linux platforms.
Develop and deploy multi-agent AI systems and use AI-assisted development tools to accelerate test automation, debugging, and workflow optimization.
Translate product requirements into test coverage and validation for complex PC platform scenarios, expose defects, and work collaboratively to improve software quality.
B.E./B.Tech/M.S. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
5+ years of software development, test automation, or software quality engineering experience.
Strong Python programming skills including OOP, debugging, error handling, and automation framework development.
Experience with databases (SQL, MongoDB, Elasticsearch) and AI/ML agentic AI solutions for automation workflows.
Proven ability to design and deploy AI/ML-driven automation frameworks and use AI-native tools (Codex, Claude Code, Cursor) with understanding of LLM limitations.
Experience debugging and improving automation reliability in complex PC gaming, hardware/software, driver interactions.
Familiarity with gaming technologies, GPUs, graphics drivers, and PC platform ecosystems aligns with requirements for testing NVIDIA App successors.