NVIDIA Off Campus Drive 2024 Hiring Software QA Test Developer Engineer for BE/BTech in CS/CE/IT/ECE/EEE Candidates Can Apply online from below details. Candidates who are interested in NVIDIA Off Campus Job Openings can go through the below to get more information.
NVIDIA hiring Software QA Test Developer Engineer
Company: NVIDIA
Qualifications: BE/BTech in CS/CE/IT/ECE/EEE
Experience Needed: 2+ years
Location: Pune
Job Requisition ID: JR1988394
Description for Software QA Test Developer Engineer
We are looking for a Software QA Test Developer Engineer. This role is in Embedded QA group. The group works for validation of powerful cloud-native microservices and reference applications. These microservices and applications helps to fast track the development and deployment of developer’s vision AI applications. This position will be part of multifaceted engineers team. They will test and maintain the quality of complex AI workflows or solutions. The focus is on validation required towards end-to-end development of cloud-native building blocks. These are used for developing vision AI applications and solutions. These applications built to run on NVIDIA cloud and data center GPUs. These applications also run with the NVIDIA Jetson Orin edge AI platforms.
This position will also require validating various reference applications. These applications address a variety of challenging vision AI use-cases. Examples include multi-camera tracking, occupancy heatmap and AI-powered NVRs. We are looking for Software QA Test Developer. to develop and execute exploratory and automated tests. The goal is to ensure these AI platforms, workflows, and software/hardware stack meet high standards of quality. As a member of this core team, you will work with highly hardworking and motivated engineers. This role will also require to frequently get along with workstream leads & release managers. Join us at the forefront of this ground-breaking revolution of advanced collection of developer workflows and tools to build, deploy and scale vision AI and Generative AI from the edge to the cloud.
What you will be doing:
Design, author, code and maintain test scenarios of validating various reference workflows of Metropolis – Video Analytics and applications such as Multi-Camera AI, Real Time Location System and validate.
Design and setup analytics and sensor processing configuration and perform deployment and post deployment validation of the complete stack.
Create test strategy, detailed, and well-structured test plans and test cases based on high-level customer requirements.
Participate in the review and provide feedback on product feature requirements, specifications, and technical design documents.
Working closely with various teams including project management, hardware, and software developers, provide technical analysis of the Top Bugs filed and periodically publish statistical data reports to all partners.
What we need to see:
B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE
At least 2+ years of professional experience in Embedded Software Validation, preferably in the field of Intelligent Video Analytics and Multi-Sensor processing on AI-powered platforms.
Good experience in Multimedia, viz. how video decode and encode works from camera side as well as device side, the impact of the Frame structure, encoding parameter like bitrate, frame rate, frame intervals, video compression techniques, VMS systems
Good experience in GFX viz. different rendering techniques, Display parameters, graphic processing techniques, shaders, and clusters
Good experience in dockers, containers, and Kubernetes
Experience with Linux Ubuntu is required
Good debugging skills. Able to understand different logs and the root cause of the issue
Excellent programming skills in python and should be able to design and code from scratch
Experience to use Configuration Management tools (Git, Perforce) and Agile scrum tools (JIRA, JAMA)
Ability to self-manage, show leadership, good analytical skill and communicate well and should be an excellent teammate, with passion for new technology/trends
Ways to stand out from the crowd:
Knowledge of GenAI, LLM, AI powered microservices, and AI powered 2D and 3D character animation
Knowledge of Kafka Tools, Spark, Elasticsearch, Logstash, and Kibana
Apply to NVIDIA hiring Software QA Test Developer Engineer
How to Apply NVIDIA Off Campus Drive 2024
Click on Apply to Official Link NVIDIA Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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