GPU Compiler QA

Originally posted 6 February 2026 by the employer.

About the role

The GPU Compiler QA engineer will develop software solutions and testing infrastructure for the Adreno GPU compiler team. The role focuses on building test infrastructure, tools, and full-stack software systems to support Adreno GPU hardware designs.

What you'll do

- Develop software, tools, and testing infrastructure for the Adreno GPU compiler. - Develop and maintain RESTful APIs and integrate them with frontend components using Angular and Django. - Implement CI/CD pipelines, containerization using Docker and Kubernetes, and cloud deployments across AWS, Azure, or GCP. - Plan and execute product software integration, testing, and build/release processes. - Write and maintain unit, integration, and end-to-end tests for both frontend and backend components. - Conduct peer code reviews, optimize application performance, and create test plans across cross-functional teams.

What you'll need

- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field with 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience (or Master's with 1+ year, or PhD). - Software development and debugging experience across systems and application layers. - Experience with testing methodologies and integration processes.

Nice to have

- 4 years of professional experience in full-stack development. - Expert-level proficiency in frontend frameworks (Angular, Vue.js, React), including RxJS, NgRx, Angular CLI, lazy loading, and performance optimization. - Strong experience with REST frameworks such as Django, Flask, and FastAPI, and scripting in Python, TypeScript, HTML5, CSS3, and SCSS. - Solid understanding of database design and optimization for PostgreSQL or MySQL. - Experience with web and REST API testing frameworks (Jasmine, Karma, Protractor, NUnit, Postman, SoapUI, PyRestTest, JMeter). - Experience with asynchronous tasks (Celery), real-time features (Django Channels), Docker, Kubernetes, and cloud platforms. - Familiarity with source control and build tools (Git, GitHub, Perforce, Jenkins, Make/CMake/MSBuild) and C/C++ programming. - Hands-on debugging on-target or simulation models, and testing on Android or Windows devices (including Android SDK).

Skills: GPU compiler, software development, RESTful APIs, CI/CD pipelines, Docker/Kubernetes, Python