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Job Description
Structured overview of role & requirementsAbout This Role
Own quality assurance for NVIDIA's voice AI pipelines integrating ASR, LLM, and TTS models across cloud, workstation, and edge targets.
Develop and maintain Python-based test frameworks and AI-powered test automation for multi-model conversational AI systems, focusing on latency, accuracy, and interruption scenarios.
Manage and improve CI/CD pipelines and code coverage; create test plans and benchmarks for multi-agent orchestration and multimodal AI features.
Minimum Requirements
Bachelor's or Master's degree in CS, CE, IT, ECE, or EEE.
2+ years of hands-on testing experience in software or embedded systems.
Strong Python programming skills with ability to develop test frameworks from scratch; proficiency with Linux, shell scripting, and command-line debugging.
Experience with Conversational AI systems (ASR, TTS, NLP pipelines), LLMs, CI/CD pipelines (GitHub Actions, Jenkins), Docker, and QA processes including code coverage and regression management.
Ideal Candidate Profile
Experienced in testing and automating real-time streaming or voice/audio pipelines.
Familiarity with NVIDIA NIM microservices, GPU-accelerated inference, and Kubernetes or edge deployment platforms (e.g., Jetson, DGX Spark).
Demonstrated ability to develop AI Agents and agentic workflows using frameworks such as LangChain or Pipecat for QA automation.