GPU Software Engineer (Graphics / ML)

GPU Software Engineer (Graphics / ML)

Luxoft, Serbia or Remote

We are looking for hybrid engineers - real-time graphics AND machine learning in one person - to join a GPU software team working at the intersection of rendering and image ML (upscaling, denoising, artifact suppression for interactive visual applications).

Responsibilities

Develop and optimize rendering and 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.

4+ years of professional software engineering experience (C++ primary; strong Python on the ML side).

Solid GPU fundamentals: pipeline, synchronization and memory models, performance trade-offs.

BOTH areas below are mandatory

A profile covering only one of them is not a match

(a) GPU / graphics programming: hands-on production experience with DX12 and/or Vulkan (or CUDA/HIP GPU compute), shader/kernel authoring (HLSL/GLSL/compute), GPU debugging and profiling (RenderDoc, PIX, Radeon GPU Profiler, Nsight).

(b) ML on images: hands-on project experience with PyTorch (or equivalent) on vision models

super-resolution, denoising, artifact suppression, segmentation or comparable CNN/transformer work

including inference deployment and optimization on GPU (ONNX Runtime or TensorRT, quantization).

Nice to have

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.

Apply