Performance Analysis Engineer

As a GPU Performance Analysis Engineer, your responsibilities will include: - Developing performance test plans to validate GPU performance - Analysing performance issues using micro benches and real life content (games, pro-apps etc) to identify hardware and software problems - Interacting with architecture, software and hardware engineers to identify bottlenecks and propose novel solutions for improved GPU performance - Developing studies to understand and quantify the performance benefit of features and algorithms implemented in hardware and software - Developing tools to aid in the efficient measurement, communication and improvement of GPU performance. Minimum Qualifications Architecture knowledge of at least one of the main SoC components (GPU, CPU, Interconnect & Memory hierarchy). Strong hardware and software debug skills. Strong data analysis skills: able to relate performance data to HW architecture and behaviour. Knowledge Python and/or C++ Ability to work well in a multi-site team, capable of planning your own tasks, estimate deadlines and meet schedules. Excellent communications skills, self-motivated and well organised Knowledge on hardware design. Preferred Qualifications - Previous experience in performance analysis of complex systems and understanding trade-offs - Experience in GPU architecture - Experience on system verilog and simulation/emulation tools