The intern will develop and optimize testing frameworks for AI-driven applications using Python/C++. Responsibilities include designing test procedures, scripting, and deploying in Kubernetes.
The incumbent will be working on helping us to build tools/utility/framework in Python/C++/C which would help automate and optimize the testing workflows in Embedded domain.
The candidate will be mainly working on Metropolis and DeepStream for inference workflows and associated microservices/apps by using AI tools to test and improve productivity and reduce the cycle time of workflows. The new intern will be guided by a Sr. Engineer and the output produced can also be used for their credentials towards the internship work done, back in college (after getting the necessary NDA/Approvals from the organization).
What you'll be doing:
- Understand and design a test framework to validate metropolis and simulation uses cases of intelligent video analytics applications, define apps/workflows configuration and perform deployment of complete stack, and automate the process using Nvidia's Test framework.
- Use AI Tools to optimize test development & automation.
- Define test procedures based on functional and test design specifications of IVA or inference Applications.
- Write python-based scripts, write unit tests, execute cloud scenarios, provide detailed technical analysis, prioritize the issue, and drive the action, publish weekly status report.
- Should be confident to give good technical presentations and work for continuous test framework improvement.
- Deploy the test framework in Kubernetes / Helm environments.
What we need to see:
- Pursuing a degree course in computer science/electronics/telecommunication with strong academics.
- Good Communication skills (interpersonal and across teams).
- Excellent analytical and problem-solving skills.
- Very organized, proactive, and has good learning ability.
- Languages - Python/C/C++.
- Strong in OOPs concepts and Data structures.
- Having development experience using AI development tools for testing.
- Knowledge of SQL/NoSQL Database management tools.
- Familiarity of cloud architecture viz. AWS, Azure, etc. and Helm/K8 deployments.
- Familiarity of Linux, AI/ML/DL, message broker like Kafka Tools, Spark, Elasticsearch, Logstash, and Kibana.
Ways to stand out from the crowd:
- AI tool usage and testing optimization using the same.
- Any certification course on Machine learning.
- Knowledge of deployment technologies like Kubernetes.
Top Skills
Python,C++,C,Ai Tools,Kubernetes,Helm
NVIDIA Pune, Mahārāshtra, IND Office
Survey No.144 145, Commerzone No.5, Off, Airport Rd, Yerawada, Pune, Maharashtra, India, 411006
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