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The Role
Drive Intel’s XeSS and AI-based graphics technologies from research through productization. Responsibilities include designing and training models, developing datasets, evaluating visual quality, optimizing performance, and integrating products across software and hardware. The role leads technical initiatives involving super resolution, frame generation, neural rendering, and future AI graphics workloads while collaborating with research, architecture, validation, and ecosystem teams.
Summary Generated by Built In
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.
EU Salary
Job Type:Experienced HireShift:Shift 1 (Germany)Primary Location: Virtual GermanyAdditional 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 TrustN/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.*
Skills Required
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related field, plus 10 or more years of experience
- Master’s degree in a relevant field, plus 8 or more years of experience
- Strong expertise in AI and machine learning for real-time graphics, imaging, or video
- Experience with AI technology development from research through 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
- Experience with XeSS, neural rendering, or adjacent AI-based graphics technologies
- Understanding of modern AI model architectures, including LLMs, Vision Transformers, and diffusion models
- 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 GPU, NPU, or accelerator features based on AI workload analysis
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Leave & Time Off Breadth — Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
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Parental & Family Support — Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
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Healthcare Strength — Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.
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The Company
What We Do
Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone.
