Senior SWQA Test Developer – Embedded

About Nvidia

Nvidia is a leading technology company known for its innovative computing systems and products across various industries.

Job Summary

We are seeking a dedicated and highly skilled Senior Software Test Developer to join our Embedded QA team. In this role, you will be part of a multifaceted group responsible for developing and ensuring the quality of sophisticated computing systems that power groundbreaking embedded products across industries such as Artificial Intelligence, Retail, Healthcare, Media, Finance, and more.

Key Responsibilities

• Using AI Tools enabling and implementing CI/CD pipelines, adding tests to improve Code Coverage, fixing regression bugs, building/automating workflows/agents.
• Using different approaches to train, re-train and fine-tune different models towards Agents/Workflows Accuracy, Performance & Throughput optimization.
• Develop and implement tests on embedded/GPU based systems and components.
• Build test strategy, detailed, and well-structured test plans and test cases based on high level customer requirement.
• Identify, record, document, and regress internal and external filed bugs.
• Participate in reviewing and influencing product feature requirements, specifications, and technical design documents.
• Liaise with teams in project management, hardware, and software development.
• Provide technical analysis of Top Bugs filed.
• Periodically publish statistical data reports to all collaborators.
• Application development, test tools and automation of tests using Nvidia Test framework.

Requirements

• B.Tech. or M.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE.
• 5+ years of hands on testing experience in complete embedded software stack.
• Excellent programming skills with Python and/or C/C++ and able to write logical scripts/code from scratch.
• Must have experience using AI tools to automate the end-to-end QA workflow.
• Must have experience working on projects related to Conversational AI and RAG.
• Excellent Knowledge of modern technologies like docker, cloud-based platforms (AWS), frontends (HTML, web scrapping).
• Must have exposure to Linux and be aware of sophisticated scripts/commands.
• Must be an excellent teammate, with passion for new technology/trends.

Ways to stand out from the crowd

• Any degree/certification course on Machine learning (Artificial Intelligence).
• Proven Knowledge of deployment technologies like Kubernetes.