GPU Software Engineer (Graphics / ML)

Luxoft; Poland; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Private medical care

Dental care

Life insurance

Internal mobility

Job summary

Luxoft is seeking engineers to join a GPU software team working at the intersection of real-time graphics and machine learning. You will develop and optimize rendering and ML inference components, profile GPU workloads, and integrate ML models into graphics pipelines on DX12/Vulkan stacks.

The role requires strong C++ experience, GPU fundamentals, and deep expertise in real-time graphics or image ML, with hands-on performance profiling and cross-team collaboration.

Qualifications

• 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 real-time graphics (DX12 or Vulkan) or image ML (PyTorch, ONNX Runtime, TensorRT).
• Ability to integrate a pre-trained model into a rendering pipeline and optimize for GPU performance.

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 PSNR/SSIM and perceptual metrics; collaborate across teams.

Skills

C++

Python

GPU basics

DX12

Vulkan

HLSL/GLSL

ML on GPU

ONNX/TensorRT

Profiling

RenderDoc

Tools

RenderDoc

PIX

Radeon GPU Profiler

Job description

Private Medical & Dental care & Life Insurance covered

Internal Mobility program - possibility of rotation between projects, locations, accounts

...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).
• Render fidelity testing, SSIM/PSNR-based visual regression tooling.
• CI-driven development, automated test harnesses.