> Markdown version of [/jobs/ext/3009382-ai-rnd-engineer-xess-and-neural-graphics](https://www.wearedevelopers.com/jobs/ext/3009382-ai-rnd-engineer-xess-and-neural-graphics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI RnD Engineer, XeSS and Neural Graphics - **Company:** Intel - **Location:** Feldkirchen, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Engineering, Performance Tuning, Software Deployment, Graphics Processing Unit (GPU), Large Language Models, Information Technology, Low Latency, Stable Diffusion - **Published:** September 20, 2026 - **Apply:** https://www.adzuna.de/details/5890866217 ## About the Role Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or related field, with 10+ years of experience, or Master's degree with 8+ years of experience. - Strong expertise in AI/ML for real-time graphics, imaging, or video, such as super resolution, frame generation, denoising, reconstruction, optical flow, or related AI rendering workloads. - Experience contributing to AI technology development from research to productization, including model architecture, datasets, training, evaluation, optimization, and deployment. - Strong understanding of GPU architecture, performance, memory, latency, and hardware-aware optimization. - Demonstrated ability to lead technical initiatives and collaborate across cross-functional teams spanning research, software, and hardware. Preferred Qualifications - Experience with XeSS, Neural Rendering, or adjacent AI-based graphics technologies. - Good understanding of modern AI model architectures, such as LLMs, Vision Transformers, Diffusion, and related architectures. - Experience with high-performance GPU compute, inference kernels, or production AI deployment. - Experience with dataset capture, processing, and training infrastructure for graphics AI models. - Experience with SDK, API, or cross-platform AI productization. - Experience influencing future GPU, NPU, or accelerator features based on AI workload analysis. Job Type ## Description Drive Intel's XeSS and related AI-based graphics technologies for Client Graphics, with direct impact across XeSS Super Resolution, XeSS Frame Generation, Neural Rendering, and next generation AI rendering capabilities. In this role, you will contribute to technical direction, drive execution across teams, and contribute to the future of AI-based graphics at Intel. You will work across research, software, hardware architecture, validation, and ecosystem teams to bring new AI graphics technologies from concept to product. You will play a significant role in end-to-end development across model design, datasets, training, visual quality, performance optimization, and product integration. You will also help guide how modern AI model architectures are applied to future graphics workloads. ## Related Videos - [Practical performance tuning for Serverless Java on AWS](https://www.wearedevelopers.com/videos/2075-practical-performance-tuning-for-serverless-java-on-aws) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [RTX AI PC: Developing local and edge AI applications](https://www.wearedevelopers.com/videos/100078-rtx-ai-pc-developing-local-and-edge-ai-applications) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Software Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/194-software-developer-salary-in-germany-2023) - [Backend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/196-backend-developer-salary-in-germany-2023) - [Frontend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/195-frontend-developer-salary-in-germany-2023) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)