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Rendering, Pipeline Optimization

Genesis· Engineering & Research
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Hybrid (Paris), Hybrid (London)Full-timePosted 5mo ago

About the role

Genesis AI is building Nyx, a renderer delivering offline quality at realtime performance. Seeking a principal-level rendering engineer to own performance across the full rendering pipeline in a hybrid renderer environment, profiling with custom instrumentation and collaboration with hardware vendors.

Responsibilities

  • Own frame-time budgets and drive GPU/CPU rendering performance across all target platforms
  • Profile, diagnose, and optimize the full rendering pipeline: geometry, shading, lighting, post
  • Adapt profiling methodology to a non-standard hybrid pipeline; build custom instrumentation and counters where existing tools can't see
  • Evolve hybrid raster/ray-traced rendering paths
  • Set the technical bar: review architecture, mentor senior engineers, kill bad ideas early
  • Work directly with hardware vendors on low-level GPU issues and our target hardware

Qualifications

  • 10+ years in real-time rendering, with shipped AAA titles where you owned rendering performance
  • Mastery of GPU profiling tools: PIX, Razor GPU/CPU, RGP, Nsight, and reading raw GPU counters, with the judgment to know what each tool can and can't tell you on an unfamiliar pipeline
  • Deep knowledge of modern GPU architectures (AMD RDNA, wave occupancy, cache behavior, async compute)
  • Strong command of D3D12, Vulkan, and at least one console graphics API at a low level
  • Hands-on experience building or optimizing hybrid rendering pipelines
  • Expert-level C++ and HLSL/GLSL; comfortable in shader disassembly when it matters

Skills

Required:Real-time rendering optimizationGPU profiling and debuggingGPU architecture knowledgeLow-level graphics APIsC++ and HLSL/GLSLHybrid rendering pipelines
Last updated Jul 16, 2026. Interested? Apply on the company site.

About Genesis

A new future is at hand.

We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI.

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