Build autonomous and semi-autonomous agents to handle complex software development and testing tasks, such as black/white box test generation, bug triaging, root-causing, and quality trend/risk analysis, etc.

Develop scalable AI-native infrastructure to elevate testing accuracy and efficiency using LLMs and AI models, ensuring low latency and high reliability for global testing teams.

Create intuitive internal tools, agentic skills, and APIs that allow non-AI experts to leverage machine learning for their work.

Collaborate with Pixel software and hardware teams to integrate AI-driven testing into the existing CI/CD pipelines and hardware-in-the-loop (HIL) systems.

Bachelor’s degree or equivalent practical experience.

2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.