Technical Lead Computer Vision Software Development
AMD · Bengaluru · Posted 2026-06-25
Tech stack: C, C++, Express, Python
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About 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.
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
Qualifications:
- 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
- Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline
Qualifications
- 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
- Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline
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