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

Advanced Micro Devices, Inc•Santa Clara, CA

About The Position

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. THE ROLE: We are looking for a talented engineer to join our team: developing heterogeneous software for computer vision, image/video processing as part of the AMD Radeon Open Ecosystem (ROCm). The ideal candidate thrives in a fast-paced environment and brings strong communication, problem-solving, and prioritization skills to the table. We value individuals who are critical thinkers, detail oriented and passionate about building high-performance software. We need a candidate who has deep domain expertise in computer vision as well as strong in quality engineering and integration testing with fast paced ROCm releases. 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.

Requirements

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

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.