Intel
Senior AI Systems Architect/Researcher
$195K–$276K
US, Oregon, Hillsboro +2 · Senior · Full-time · Posted Oct 21, 2026
- Location
- US, Oregon, Hillsboro
US, California, Folsom
US, California, Santa Clara - Experience
- 5+ years with a Master's degree, or 2+ years with a PhD; relevant experience required.
- Education
- Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related STEM field; or PhD in those fields or a related STEM field.
About the job
Defines networking, interconnect, and data-movement architecture for large-scale AI systems, translating workload bottlenecks and research into IP, platform features, and product roadmaps.
What you'll do
- Analyze AI workloads and turn communication and memory bottlenecks into architecture requirements, new IP, and platform features.
- Set direction for AI-scale networking and interconnect across compute, storage, IPU/DPU platforms, and NICs.
- Shape multi-generation roadmaps and align architecture across networking, software, silicon, and performance teams.
What they ask for
- Master's degree in a related STEM field and 5+ years of relevant experience; or PhD in a related STEM field and 2+ years of relevant experience.
- Experience with modern AI training and/or inference systems, including model internals, serving runtimes, and memory and data-movement bottlenecks.
- Hands-on experience with inference and training stacks such as vLLM or SGLang, and practical understanding of disaggregated prefill/decode, model parallelism, and tensor parallelism.
- Experience in computer architecture and system-level design focused on networking, interconnect, or memory subsystems; proficiency in C/C++ and/or Python.
Nice to have
- Experience with memory hierarchy and bottleneck analysis, high-performance networking such as RDMA/RoCE or InfiniBand, or IPU/DPU/SmartNIC systems.
- Familiarity with PCIe and CXL; experience taking architecture from concept through silicon or product, or leading cross-team technical direction.
Pay
$195,200.00-275,580.00 USD (annual target compensation; base salary or total pay not specified)
Tools
vLLM, SGLang, C/C++, Python, RDMA/RoCE, InfiniBand, PCIe, CXL
AI focus
AI systems architecture for training and inference, including serving bottlenecks, memory and data movement, KV-cache transfer, disaggregated prefill/decode, model and tensor parallelism, and communication collectives.
Model-written summary · the original posting is authoritative