We are looking for a Senior QA Test Developer Engineer to join the Embedded QA group of Intelligent Video Analytics (IVA) and multi-sensor processing. This position will be part of dynamic engineers that test and maintain the quality of complex AI workflows or solutions for end-to-end development of interactive Avatars and digital human applications using NVIDIA's Cloud Engine, Unified Compute Framework, and full-stack AI Platforms. This position will also require validating DeepStream SDK which delivers a complete streaming analytics toolkit for situational awareness through computer vision, intelligent video analytics, and multi-sensor processing. We are looking for Senior QA Test Developer to develop and execute exploratory and automated tests to ensure these AI platforms, workflows, and intelligent video analytics SW/HW stack meet high standards of quality.
As a member of this core team, you will be working 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 AI-powered intelligent video analytics revolution. You can read more about it here: https://developer.nvidia.com/deepstream-sdk and Metropolis Application Framework | NVIDIA Developer
What you will be doing:
Design, author, code and maintain scenario of NVIDIA Avatar Cloud Engine, Unified Compute Framework, and DeepStream SDK components 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 experience in CS/CE/IT/ECE/EEE
5+ 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, and GStreamer framework.
Good experience in GFX viz. different rendering techniques, Display parameters, graphic processing techniques, shaders, and clusters.
Strong background in dockers, containers, and Kubernetes.
Experience with Linux Ubuntu/RHEL is required.
Good debugging skills. Able to understand different logs and the root cause of the issue and 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 message brokers like Kafka, Azure, AMQP.
Background of Kafka Tools, Spark, Elasticsearch, Logstash, and Kibana.
Knowledge of GenAI, LLM, AI powered microservices, and AI powered 2D and 3D character animation.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable technology employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our outstanding engineering teams are rapidly growing. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.
