Staff Software Development Engineer: GPU, AI/ML Ops & Quality Engineering

The Person

You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount. You possess excellent written and verbal communication skills, strong attention to detail, and the ability to express your work in a clear, cohesive fashion. Most importantly, you are constantly thinking of ways to make world-class software with reliability and performance.

Key Responsibilities

• Design, develop, and optimize GPU/CPU software for computer vision, image and video processing workloads.
• Validate new SW features before releasing them to customers.
• Collaborate with cross-functional teams to deliver robust software extracting best performance from AMD hardware
• Debug and resolve complex software issues across multiple layers of the stack.
• Apply software engineering methodologies and AI tools to ensure robust, maintainable code
• Develop technical relationships with peers and partners
• Work very closely with dev teams and Project Managers to drive results
• Strong experience with GoogleTest (gtest) for unit and integration testing in C++.
• Hands-on experience with Jenkins or GitHub Actions for automating test execution and integrating tests into CI/CD pipelines.
• In-depth knowledge of software testing methodologies, frameworks, and tools for automated testing.

Preferred Experience

• Proficiency in C/C++ and Python.
• Experience in video codecs, image processing and machine learning frameworks
• Familiarity with computer vision libraries like OpenCV, FFMpeg, OpenVX etc.
• Experience with GPU programming (e.g., HIP, CUDA).
• Familiarity with ROCm or similar heterogeneous computing platforms.
• Experience with open-source development and Git and feature tracking software (e.g., Jira)
• In-depth knowledge of best practices in software development, including testing, profiling, debugging, documentation, version control, issue tracking, and planning
• Quick in learning new tools and frameworks
• Experience in CV domain Quality Engineering for testing and debugging end-to-end workflows

Academic Credentials

• Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline

This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.