Quality Assurance Engineer for AI Systems

Qualifications

• Bachelor's degree in computer science or a relevant discipline
• 8+ years of practical experience in software testing, machine learning applications, and Python development
• Excellent analytical, problem-solving, and technical skills
• A good eye for detail
• Leadership skills
• The ability to work independently and to collaborate with others

Responsibilities

• As a software verification engineer, you will play a critical role in ensuring the quality of our neural network compiler software
• You will develop and implement verification processes, analyze complex data, and work closely with the development team to resolve defects
• Develop and implement verification processes for complex machine learning compiler software
• Define necessary performance metrics to evaluate the neural network compiler
• Analyze complex and ambiguous data to identify anomalies impacting verification objectives
• Work closely with the development team to clarify requirements, provide feedback on code quality, drive documentation improvements, and ensure defects identification and resolution occurs on time

Full Description

About this Role:

As a software verification engineer, you will play a critical role in ensuring the quality of our neural network compiler software. You will develop and implement verification processes, analyze complex data, and work closely with the development team to resolve defects.

Key Responsibilities:

• Develop and implement verification processes for complex machine learning compiler software.

• Define necessary performance metrics to evaluate the neural network compiler.

• Analyze complex and ambiguous data to identify anomalies impacting verification objectives.

• Work closely with the development team to clarify requirements, provide feedback on code quality, drive documentation improvements, and ensure defects identification and resolution occurs on time.

Requirements:

• Bachelor's degree in computer science or a relevant discipline.

• 8+ years of practical experience in software testing, machine learning applications, and Python development.

• Excellent analytical, problem-solving, and technical skills.

• A good eye for detail.

• Leadership skills.

• The ability to work independently and to collaborate with others.