QA Engineer – AI/ML (AI2364)

Job Title: QA Engineer – AI/ML

Job Location: Bangalore, India  

Job ID: AI2364

Job Description: 

As a QA Engineer – AI/ML, you will work closely with the SoC and ML development teams to create test plans,  test cases and automate the same to test SoC and MLA software. You will be responsible for validating different GStreamer pipelines and SoC interfaces. The position requires the ability to work with engineers to understand the system requirements and intended behaviors, write comprehensive test plans to specify the verification and validation criteria, and implement the tests and automated scripts to perform the verification and validation. Extensive experience in programming using C/C++ or python is required. Excellent communication skills are necessary to work with the engineering team and other QA team members to design and refine the tests and test plans.
Responsibilities:

• Work with engineering team members to develop test criteria based on design goals
• Identify key points for validation, intended results, and corner-case scenarios for testing
• Test and create GStreamer and Python based pipelines in computer vision domain
• Write comprehensive test plans describing the verification and validation criteria
• Implement tests using C/C++, Python, Shell, or other language as appropriate
• Automate testing using Jenkins scripts
• Collect test results and create reports to summarize successful tests
• Track down underlying causes of test failures, work with engineering team to resolve
• Refine tests and test plan as new criteria or corner-case conditions are identified
• Maintain code in BItbucket, tasks in Jira, and documentation in Confluence
• Collaborate with other QA team members to review and refine their test plans, perform code reviews, and enhance team performance

Requirements:

• Minimum 2 years experience with:
• Writing test plans and implementing tests for SoC or AI/ML projects
• Very strong coding skills in C/C++, Python, Shell, Groovy
• Working in a collaborative team environment with other QA engineers
• Software debugging/troubleshooting skills in Python and C++
• Working with automated testing and reporting in an Jenkins environment
• Linux OS experience with Centos and/or Ubuntu systems
• Project/task management using Jira
• Code repository management using Bitbucket or Github
• Excellent written and verbal communication skills

Education:BE/BTech or MS/MTech in Computer Science or a related field with specialization in Artificial IntelligencePersonal Attributes: 

Can do attitude, execution and results focus, highly accountable, strong team player, high integrity, visionary, and innovative. Capable of handling difficult conversations in a professional manner.