Senior Game Engine Developer

Deeply modifying engine source code (e.g., renderer, physics, networking subsystems). Designing and implementing new core engine features from scratch. Optimising existing Unreal systems for specific project needs.

Extending Unity's core functionality, particularly with the Data-Oriented Technology Stack (DOTS) for high-performance systems. Implementing custom rendering pipelines or physics simulations that go beyond standard Unity features.

Writing highly optimised, low-level engine code. Mastering template metaprogramming, custom memory allocators, and designing complex, multi-threaded systems with strict performance guarantees. You're comfortable with the latest C++ standards.

Directly programming against a specific graphics API to implement new rendering features (e.g., custom post-processing, advanced lighting models). Debugging GPU-side issues using API-specific tools.

Managing complex branch strategies, integrating automated builds and testing pipelines, and optimising repository performance for large teams and massive asset sizes. You're a master of version control, not just a user.

Using low-level tools to diagnose complex GPU hangs, CPU cache misses, memory stomps, and race conditions. You're adept at interpreting profiling data to pinpoint performance bottlenecks across CPU and GPU.

Designing and building robust automation scripts and tools for artists and designers (e.g., asset ingestion pipelines, build automation, editor extensions). You're making life easier for the content creators.

• Lead Game Engine Developer (your manager)
• Other Senior Engineers (Graphics, Physics, AI, Gameplay)
• Game Directors and Technical Directors
• Technical Artists and Animators
• Producers (for project timelines and scope)
• QA Team (for bug reproduction and verification)

• Hardware Vendors (e.g., NVIDIA, AMD, console manufacturers for SDK updates)
• Middleware Providers (e.g., audio libraries, networking solutions)
• Industry Peers (for knowledge sharing and best practices)

Squeezing every last bit of performance out of modern CPUs requires a deep understanding of compiler optimisations, cache behaviour, and instruction-level parallelism. As hardware becomes more complex, knowing how to write code that compilers can effectively optimise becomes even more critical.

Cache-Aware Programming · SIMD Intrinsics & Vectorisation · Compiler Optimisation Flags & Behaviour · Assembly-Level Profiling

• This month: Read 'Optimising C++' books and articles focusing on cache-aware design and compiler interactions.
• Next quarter: Experiment with SIMD intrinsics for a small, performance-critical math function in your engine.
• Month 4-6: Use tools like Intel VTune or AMD uProf to analyse CPU cache misses and instruction throughput in your code.
• Ongoing: Profile your code at the assembly level to understand exactly what the CPU is doing.

Quick win: Take a simple math loop in your engine and try to manually vectorise it using SIMD intrinsics. Measure the performance difference.

As engine systems become more complex and require greater flexibility, using C++ template metaprogramming or even runtime code generation can create highly adaptable and performant solutions. This allows for more generic, reusable, and compile-time optimised code.

C++ Template Metaprogramming · Reflection Systems · Code Generation Tools · Compile-Time Polymorphism

• This month: Study advanced C++ template programming and common metaprogramming patterns.
• Next quarter: Implement a small compile-time reflection system for a simple data type in C++.
• Month 4-6: Explore using code generation tools (e.g., Python scripts) to automate repetitive engine code tasks.
• Ongoing: Look at how existing large-scale C++ projects (like Boost or modern game engines) use metaprogramming.

Quick win: Write a simple C++ template that generates a compile-time static assertion based on type traits. It's a small step, but it gets you thinking in metaprogramming terms.