
Overview
About the job:
Key responsibilities:
1. Design and implement AI-powered automated test systems for NVIDIA's device driver software and SDKs across Linux platforms.
2. Develop and maintain tools, utilities, and frameworks in Python, C, or C++ to automate and optimize GPU testing workflows.
3. Execute manual and automated tests, analyze test results, identify defects, and collaborate to drive issue resolution.
4. Measure code coverage, enhance automation depth, and improve testing robustness.
5. Participate in peer code reviews, focusing on performance, scalability, and maintainability.
6. Generate reports and provide actionable insights to leadership, ensuring effective task prioritization and progress tracking.
Who can apply:
- have minimum 3 years of experience
- are Computer Science Engineering students
Only those candidates can apply who:
Salary:
Competitive salary
Experience:
3 year(s)
Deadline:
2025-10-21 23:59:59
Skills required:
Python, Linux, SQL, MongoDB, Logical reasoning, Analytical Thinking, Problem Solving, C Programming, Automation, Web development, C++ Programming, Database Management System (DBMS), Effective Communication, Debugging and Collaboration
Other Requirements:
- B.E./B.Tech in Computer Science, Electronics, or Telecommunications with strong academic background or equivalent experience.
- 3+ years of programming experience in Python, C, or C++ with solid understanding of OOP concepts.
- Experience with web application development (ASP.NET, MVC, or Web Services).
- Familiarity with AI-driven code review, test generation, and debugging tools.
- Strong logical reasoning and ability to work in distributed teams.
- Hands-on expertise in AI-based test automation tools and frameworks.
- Strong knowledge of Linux operating systems and system architecture, including PCI-E, USB, and SATA interfaces.
- Familiarity with databases such as SQL, MongoDB, and Elasticsearch.
- Excellent analytical, debugging, and problem-solving skills.
- Effective communication and collaboration skills with a proactive approach to learning.
About Company:
Nvidia, founded in 1993 and headquartered in Santa Clara, California, is a global leader in graphics processing units (GPUs) and AI computing. With a market capitalization exceeding $2 trillion in 2024, Nvidia dominates AI, gaming, and data center technologies. In India, Nvidia collaborates with research institutions and businesses to accelerate AI adoption, deep learning, and cloud computing. Its innovations in autonomous vehicles, supercomputing, and AI chips make it one of the most influential technology firms shaping the future of computing.