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

Role overview

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.
  • 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.

Responsibilities

  • Drive Intel's XeSS and related AI-based graphics technologies for Client Graphics.
  • Contribute to technical direction, drive execution across teams, and contribute to the future of AI-based graphics.
  • Work across research, software, hardware architecture, validation, and ecosystem teams to bring new AI graphics technologies from concept to product.
  • Guide how modern AI model architectures are applied to future graphics workloads.

Key facts

  • Remote from: Germany
  • Full time
  • Expert & Leadership (>10 years)
  • AI Engineer
  • English

Hard skills

Other skills

  • Training And Development
  • Leadership
  • Collaboration

About the company

Intel Corporation logo

Intel Corporation

Semiconductors

Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. With a career at Intel, you have the opportunity to help make the future more wonderful for everyone. Join us.

Company details

Company typeLarge
IndustrySemiconductors
Company size10001

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Job description

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.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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