Software QA Test Developer Engineer

We are seeking a Software QA Test Developer Engineer for our Embedded QA group. This role involves validating powerful cloud-native microservices and reference applications that accelerate the development and deployment of vision AI applications. You'll be part of a multifaceted engineering team, testing and maintaining the quality of complex AI workflows and solutions.

Key Responsibilities:

• Design, author, and maintain test scenarios for validating Metropolis – Video Analytics and applications such as Multi-Camera AI and Real Time Location System.
• Set up analytics and sensor processing configurations, performing deployment and post-deployment validation.
• Create test strategies, detailed test plans, and test cases based on customer requirements.
• Participate in product feature reviews and provide feedback on specifications and technical design documents.
• Work closely with project management, hardware, and software teams to analyze top bugs and publish statistical data reports.

Requirements:

• B.Tech. or equivalent degree in CS/CE/IT/ECE/EEE
• 2+ years of professional experience in Embedded Software Validation, preferably in Intelligent Video Analytics and Multi-Sensor processing on AI-powered platforms
• Strong knowledge of multimedia, graphics processing, dockers, containers, and Kubernetes
• Experience with Linux Ubuntu
• Excellent programming skills in Python
• Familiarity with Configuration Management tools and Agile scrum tools

Preferred Skills:

• Knowledge of GenAI, LLM, AI-powered microservices, and AI-powered 2D and 3D character animation
• Experience with Kafka Tools, Spark, Elasticsearch, Logstash, and Kibana

Join NVIDIA at the forefront of the AI revolution, working on advanced developer workflows and tools to build, deploy, and scale vision AI and Generative AI from edge to cloud. We offer competitive salaries, generous benefits, and the opportunity to work with some of the most forward-thinking and hardworking people in the world.