Summary
✨ AI‑Generated
Join a GPU software team working at the intersection of real-time graphics and machine learning. Develop and optimize rendering and ML inference components for interactive visual pipelines, integrate models such as super-resolution and denoising, and profile GPU workloads to improve latency, memory usage and throughput. Collaborate closely with specialists in graphics and low-level software.
Highlights
Work at the intersection of real-time graphics and machine learning, optimizing GPU workloads for latency, memory and throughput. The role combines rendering, ML model integration and performance engineering, with collaboration across graphics and driver disciplines and strong professional development benefits.
Description
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Our Benefits:
💰Paid Referrals
💻Equipment: laptop and monitor
🩺Private Medical & Dental care & Life Insurance covered
🏋🏽 ♀️ MyBenefit program (sports card, well-being program etc.)
🌎 Internal Mobility program - possibility of rotation between projects, locations, accounts
🎓 LuxTalent platform (webinars, training, courses)
...and more!
Project Description:
We are looking for engineers to join a GPU software team working at the intersection of real-time graphics and machine learning (upscaling, denoising, artifact suppression for interactive visual applications).
The work spans rendering pipelines, ML model integration and GPU performance optimization, in collaboration with graphics and driver teams.
Responsibilities:
Develop and optimize rendering and/or ML inference components for real-time visual pipelines (DX12, Vulkan, ONNX-based stacks).Profile GPU workloads and tune for latency, memory and throughput.Integrate ML models (super-resolution, denoising) into graphics pipelines.Evaluate output quality using objective and perceptual metrics (PSNR/SSIM, LPIPS) and visual regression tooling.Author clean, testable, reproducible code; collaborate with graphics, ML and platform teams.
Mandatory Skills Description:
4+ years of software engineering experience with C++ (for ML-focused candidates: strong Python with working-level C++).Solid GPU fundamentals: pipeline, synchronization and memory models, performance trade-offs.Deep expertise in at least one of the two areas:(a) real-time graphics: DX12 and/or Vulkan, shader authoring (HLSL/GLSL), rendering techniques, GPU debugging/profiling (RenderDoc, PIX, Radeon GPU Profiler), OR(b) image ML: PyTorch, super-resolution/denoising/artifact-suppression models, inference deployment and optimization on GPU (ONNX Runtime or TensorRT, quantization).Working awareness of the other area: ability to integrate a pre-trained model into a rendering pipeline, or understanding of how ML components fit into graphics stacks.Hands-on performance profiling and optimization of real workloads.
Nice-to-Have Skills Description:
Ray tracing (DXR/VKRT), game engines (Unreal, Unity) or rendering middleware.Color and image processing fundamentals (sRGB vs linear, HDR, resampling/filtering).CUDA/HIP compute experience.Render fidelity testing, SSIM/PSNR-based visual regression tooling.CI-driven development, automated test harnesses.
Languages:
English: B2 Upper Intermediate
