AI RnD Engineer, XeSS and Neural Graphics (f/m/d) - Remote
$108,830 - $198,495 USD yearly
Originally posted 17 September 2026 by the employer — open 1 day.
Join the team driving Intel's XeSS and Neural Rendering technologies.
About the role
You will contribute to the future of AI-based graphics at Intel.
What you'll do
- Contribute to technical direction and drive execution across teams for AI-based graphics.
- Bring new AI graphics technologies from concept to product across research, software, hardware architecture, validation, and ecosystem teams.
- Lead end-to-end development across model design, datasets, training, visual quality, performance optimization, and product integration.
- Guide the application of modern AI model architectures to future graphics workloads.
What you'll need
- 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.
- 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.
- 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.
Nice to have
- Experience with XeSS, Neural Rendering, or adjacent AI-based graphics technologies.
- 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.
Skills: XeSS, Neural Rendering, AI-based graphics, GPU architecture, model architecture
This role has been open 1 day — well below the 65-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
512
|
Median days open
65 d
|
Median salary
$226k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Intel Corporation | All employers we track in this specialty (512 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 10 | 512 |
| Open roles in the wider Software, Firmware & Systems family | 155 | 5844 · 143 employers |
| Median days open | 16 d | 65 d (−49 d vs this employer) |
| Median salary (USD postings) | — | $226k |
Skills observed across this category: XeSS, Neural Rendering, AI-based graphics, GPU architecture, model architecture
Who's hiring in this category
- Qualcomm · 105 open roles · median 99 d
- NVIDIA · 85 open roles · median 64 d
- AMD · 42 open roles · median 65 d
- Micron Technology · 32 open roles · median 36 d
- Mobileye · 25 open roles · median 50 d
- Analog Devices · 14 open roles · median 21 d
How we counted: 512 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 18 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.