Intel designs, manufactures, and sells integrated digital technology platforms worldwide.

Intel

Job Details 
 
Job 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. 
 
Qualifications 
 


* 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 
 
Experienced Hire 
 
Shift 
 
Shift 1 (Germany) 
 
Primary Location: 
 
Virtual Germany 
 
Additional Locations: 
 
Posting Statement 
 
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. 
 
Position of Trust 
 
N/A 
 
EU Salary 
 
We offer a total compensation package that ranks among the best in the industry. 
 
Annual Salary Range for this job which could be performed in Germany is: 108 830,00 € - 198 495,00 € The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery. 
 
Work Model for this Role 
 
This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. \* Job posting details (such as work model, location or time type) are subject to change.