Quality Assurance Engineer, Annapurna ML

This is a role in the AWS Inferentia cloud-scale machine learning accelerator team. As a Senior QA Engineer, you will help lead and drive the team that will test a new generation of ML hardware/software platform for AWS. You will define test strategies, quality metrics, and automation coverage that will drive the QA team charter. You should be an expert with testing methodologies and preferably have experience working on platforms with both hardware and software elements and with testing from end to end.

Key responsibilities include:

• Designing and developing comprehensive test strategies and QA methodologies for AWS Neuron
• Collaborating with cross-functional teams to understand ML quality requirements
• Defining release planning and providing input on AWS Neuron SDK readiness
• Leading and mentoring a team of QA engineers
• Creating and executing test cases for various software components
• Identifying and documenting defects and areas for improvement
• Performing root cause analysis of complex issues
• Staying up-to-date with ML industry trends and best practices
• Collaborating with DevOps engineers on automated testing frameworks
• Defining key metrics for measuring software quality and test effectiveness

This role offers an opportunity to be a founding member of a team solving significant business problems through innovative technology. The work environment is described as more startup than big company, requiring an entrepreneurial mindset and the ability to wear many hats.

Amazon offers a competitive compensation package, including base pay ranging from $120,000 to $207,400 per year depending on the geographic market, as well as potential equity, sign-on payments, and comprehensive benefits.