AI RnD Engineer, XeSS and Neural Graphics (f/m/d)

Location: Fully home-based in Germany; remote work from other countries is not permitted. Occasional attendance at Intel sites may be required based on business needs.

Annual salary in Germany: €108,830–€198,495

Company

Intel develops processors, graphics technologies, hardware platforms, and AI solutions.

What you will do

• Drive XeSS and related AI-based graphics technologies for client graphics.
• Contribute to XeSS Super Resolution, XeSS Frame Generation, Neural Rendering, and next-generation AI rendering capabilities.
• Develop AI graphics solutions across model design, dataset creation, training, evaluation, visual quality, optimization, and product integration.
• Bring new AI graphics technologies from research to product through collaboration with software, hardware architecture, validation, and ecosystem teams.
• Guide the application of modern AI model architectures to future graphics workloads.
• Lead technical initiatives and influence future GPU, NPU, and accelerator features based on AI workload analysis.

Requirements

• Bachelor’s degree in computer science, computer engineering, electrical engineering, applied mathematics, or a related field with 10+ years of experience, or a master’s degree with 8+ years of experience.
• Strong expertise in AI and machine learning for real-time graphics, imaging, or video, including super resolution, frame generation, denoising, reconstruction, or optical flow.
• Experience taking AI technologies 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.
• Ability to lead technical initiatives and collaborate across research, software, and hardware teams.
• Must live and work from Germany; remote work from another country is not permitted.

Nice to have

• Experience with XeSS, Neural Rendering, or related AI-based graphics technologies.
• Understanding of modern AI architectures such as LLMs, Vision Transformers, and Diffusion models.
• Experience with high-performance GPU compute, inference kernels, production AI deployment, or graphics AI training infrastructure.
• Experience with SDK, API, or cross-platform AI productization.

Culture & Benefits

• Fully home-based work model in Germany.
• Occasional visits to Intel sites may be required according to business needs.
• Total compensation includes base salary and potentially additional pay components and benefits.
• Compensation is determined by skills, experience, education, and training.