Performance Engineer

• Profiles and optimises Unreal's replication system: identifies bandwidth-heavy actors and components, tunes replication frequency, prioritises replication correctly under load

• Diagnoses client-server latency: distinguishes network latency from server frame time from client simulation cost — does not conflate them

• Familiar with NetStat, Unreal's network profiler, and packet-level capture when needed

• Scope: supports multiplayer engagements where networking is a performance constraint — not the primary discipline on pure-networking architecture

• Builds internal profiling tools in C++ (UE plugins) and Python — automated perf validation scripts, CI-integrated regression detection, custom Unreal Insights data channels

• Writes automated performance regression tests: baseline capture, threshold alerting, trend visualisation — so regressions are caught in the build, not in the client review

• Builds or improves developer-facing profiling UX: makes it easier for other engineers on the engagement to find their own bottlenecks without specialist involvement

• Documents profiling methodology and tool usage: other engineers can reproduce the analysis without a knowledge transfer session

• Console certification performance submissions: has prepared and passed Sony/Microsoft performance gates

• Mobile performance work on Android (Adreno/Mali/Dimensity) and/or iOS (Apple Silicon GPU) — thermal throttling, tiling architecture, bandwidth constraints

• Custom allocator or memory pool implementation in C++

• Shader authoring knowledge: HLSL/GLSL fluency sufficient to read a shader and identify unnecessary ALU or texture sample cost

• Familiarity with Tracy, Optick, or custom in-house profiling frameworks beyond Unreal's built-in tooling

• Experience optimising Nanite, Lumen, or other UE5-specific rendering features at engine depth