GPU Software Engineer (Graphics / ML)

Luxoft; Poland; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private medical & dental care

Life Insurance

Internal mobility program

Rotation between projects/locations

Job summary

Luxoft is seeking a GPU software engineer to join a team working at the intersection of real-time graphics and machine learning. You will develop rendering and ML components, optimize GPU performance, and work across DX12, Vulkan, and ONNX-based stacks with engineers from graphics and driver teams.

You will profile workloads, optimize latency and throughput, and integrate ML models into graphics pipelines, collaborating with cross-functional teams to deliver high-quality visual experiences.

Qualifications

• 4+ years of software engineering experience with C++.
• Strong GPU fundamentals: pipelines, synchronization, memory models.
• Expertise in real-time graphics (DX12 and/or Vulkan) or image ML (PyTorch, ONNX/TensorRT).
• Experience deploying ML models on GPU and optimizing for latency.
• Ability to profile and optimize real 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 (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.

Skills

C++

GPU fundamentals

DX12/Vulkan

ML model integration

Performance profiling

Tools

RenderDoc

PIX

ONNX Runtime

TensorRT

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.