GPU Software Engineer: Real-Time Graphics & ML

Luxoft Poland; Poland; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Private Medical & Dental care & Life保险

MyBenefit program

Internal Mobility program

Tax-deductible costs on a contract

Stable employment

Job summary

Luxoft Poland is seeking engineers to join a GPU software team working at the intersection of real-time graphics and machine learning. You will contribute to rendering pipelines, ML model integration and GPU performance optimization, in collaboration with graphics and driver teams.

Responsibilities include developing and optimizing components for real-time visual pipelines, profiling workloads, and integrating ML models into rendering systems.

Qualifications

• 4+ years of software engineering experience with C++ (or Python with strong C++ skills for ML-focused candidates).
• Solid GPU fundamentals: pipeline, synchronization and memory models, performance trade-offs.
• Deep expertise in real-time graphics (DX12/Vulkan, shader authoring) OR image ML (PyTorch, super-resolution, denoising, deployment).
• Ability to integrate a pre-trained model into a rendering pipeline and optimize workloads.

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 into graphics pipelines (super-resolution, denoising).
• Evaluate output quality using PSNR/SSIM, LPIPS and visual regression tooling.
• Collaborate with graphics, ML and platform teams to deliver robust code.

Skills

C++

Python

GPU fundamentals

DX12/Vulkan

HLSL/GLSL

ML deployment

Performance profiling

Tools

RenderDoc

PIX

Radeon GPU Profiler

ONNX Runtime

TensorRT

PyTorch

Job description

Luxoft Poland is seeking engineers to join a GPU software team working at the intersection of real-time graphics and machine learning. You will contribute to rendering pipelines, ML model integration and GPU performance optimization, in collaboration with graphics and driver teams.

Responsibilities include developing and optimizing components for real-time visual pipelines, profiling workloads, and integrating ML models into rendering systems.