Senior Real-Time GPU Rendering & ML Engineer

Luxoft Poland; Town of Poland (NY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical & Dental care

Life Insurance

Internal Mobility program

Job summary

Luxoft Poland is seeking hybrid engineers skilled in real-time graphics and machine learning to join a GPU software team. The role centers on rendering pipelines, ML model integration, and GPU performance optimization, collaborating with graphics and driver teams.

Successful candidates will handle both graphics and ML workloads, with hands-on experience in DX12/Vulkan and ML frameworks. Comfortable profiling, tuning, and delivering clean, testable code is required.

Qualifications

• 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.
• Ability to work in both GPU graphics and ML on images; cross-disciplinary experience.

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.

Skills

C++

Python

GPU programming

Performance profiling

Tools

DX12

Vulkan

RenderDoc

Nsight

ONNX Runtime

TensorRT

Job description

Luxoft Poland is seeking hybrid engineers skilled in real-time graphics and machine learning to join a GPU software team. The role centers on rendering pipelines, ML model integration, and GPU performance optimization, collaborating with graphics and driver teams.

Successful candidates will handle both graphics and ML workloads, with hands-on experience in DX12/Vulkan and ML frameworks. Comfortable profiling, tuning, and delivering clean, testable code is required.