Hands-on experience with profiling tools and interpreting timing/counter data.
Bachelor's degree in computer science, software engineering, or a relevant field.
Familiarity with a broad range of graphics and performance analysis tooling.
Proven experience identifying performance bottlenecks through trace collection and in-depth analysis.
2-4 years of experience in software development or performance analysis.
Hands-on graphics experience beyond generic software engineering.
Comfortable working in various operating environments (command line basics, driver/runtime builds) and strong written communication for bug reports and triage summaries.
Hardware architecture knowledge relevant to graphics processing.
Strong understanding of real-time rendering fundamentals and the GPU graphics pipeline (draw calls, state changes, shaders, textures, buffers).
Understanding of GPU architecture basics (waves/warps, occupancy, caches, memory bandwidth) and shader instruction set architecture at a high level.
Comfortable working in server environments (shell, services, and basic scripting).
Familiarity with modern graphics API concepts (e.g., command queues/lists, descriptor heaps, resource states/barriers) and basic shader concepts in common shader languages.
Scripting for automation (e.g., Python, PowerShell, Bash) and basic data analysis (e.g., spreadsheets, simple plots).
Proficiency in C/C++ with the ability to read and reason about performance-sensitive code.
Exposure to graphics stack concepts and debugging (e.g., display driver models, graphics infrastructure, event tracing, driver symbol debugging).