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

Job Title

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

Role Summary

Drive Intel's XeSS and related AI-based graphics capabilities for Client Graphics, covering super resolution, frame generation, neural rendering and next-generation AI rendering. Lead technical direction and execution across research, software, hardware architecture, validation, and ecosystem teams to deliver production AI graphics features.

Experience Level

Senior - typically 8–10+ years of relevant experience. See Education Requirements for degree details.

Responsibilities

Deliver and integrate AI-based graphics technologies across the product lifecycle.

• Define technical direction and drive execution for XeSS and adjacent AI graphics projects.
• Design and evaluate model architectures for real-time graphics workloads.
• Lead end-to-end work: dataset capture/processing, training, evaluation, and deployment.
• Optimize models and inference for GPU performance, memory and latency constraints.
• Collaborate with research, software, hardware architects, validation, and ecosystem partners to productize features.
• Guide visual-quality tradeoffs and performance/product integration decisions.

Requirements

Must-have technical skills and demonstrated experience.

• Proven AI/ML experience for real-time graphics, imaging, or video (e.g. super-resolution, frame generation, denoising, reconstruction, optical flow).
• Experience taking AI technologies from research to product: model architecture, datasets, training, evaluation, optimization, and deployment.
• Strong understanding of GPU architecture and hardware-aware optimization for performance, memory, and latency.
• Ability to lead technical initiatives and work cross-functionally across research, software, and hardware teams.

Preferred / Nice-to-have

• Experience with XeSS, neural rendering, or similar AI-based graphics technologies.
• Familiarity with modern model families (e.g. Vision Transformers, diffusion models, LLM architectures) and high-performance GPU compute/inference kernels.
• Experience with dataset capture/processing and training infrastructure for graphics AI models.
• Experience with SDK/API development and influencing accelerator (GPU/NPU) features from workload analysis.

Education 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 in a related field with 8+ years of experience. (These degree and years-of-experience requirements are specified by the employer.)

About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.