Systems Research Engineer/Scientist

Intel•Hillsboro, OR

1d•Hybrid

About The Position

The Silicon & Systems Architecture, Simulation and Prototyping team within Intel CTO Team is an innovative research group that works closely with Intel product groups, industry partners, and the academic community to drive technological advancement and business impact. The group focuses on system architecture innovations across areas such as high-performance cluster computing, virtualization, accelerated computing, disaggregated compute architectures, memory tiering, and system-level modeling and simulation for next-generation data center networks, leveraging AI/ML for higher efficiency and performance. We are looking for a highly motivated researcher with strong systems knowledge and hands-on systems experience with AI workloads. In this role, you will prototype, characterize, and analyze target workloads; develop tools and methodology to assess the performance of future Intel products; and partner with others to identify and develop system enhancements to improve future Intel products. Your work will influence Intel's next-generation product roadmap and architectural decisions.

Requirements

Bachelors in Computer Science, Electrical Engineering & Computer Science, Electrical & Computer Engineering, or related computing discipline with 4+ years of related experience or MS in Computer Science, Electrical Engineering & Computer Science, Electrical & Computer Engineering, or related computing discipline with 2+ years of related experience.
Experience in computer architecture and Intel platform architecture
Knowledge of and hands-on experience with system software (e.g., OS/VMM memory management, scheduling, kernel/driver architectures)
Experience with scripting languages such as Python/Perl/PowerShell/shell and programming languages such as C/C++
Experience with Linux installation/configuration
Experience in performance benchmarking

Nice To Haves

PhD in Computer Science, Electrical Engineering & Computer Science, Electrical & Computer Engineering, or related computing discipline
Experience configuring/using VMMs/containers and/or corresponding orchestration tools
Experience in modeling and analysis (including AI inference or training)
Experience with hardware and software performance monitoring resources (e.g., EMON, VTune, Perf, sysstat)
Experience with AI/ML frameworks and libraries (e.g., Pytorch, CUDA, vLLM, Triton, NCCL, oneCCL, oneAPI)
Experience with GPU performance profiling (e.g., Unitrace, Nsight, Omnitrace)
Experience with high-performance and cloud-native architectures and technologies (MPI, DPDK/SPDK, micro-services, containers, protobuf, gRPC)
Background in data science methods and tools (e.g., Pandas, R, MATLAB)
Experience with automation frameworks and tools

Responsibilities

prototype, characterize, and analyze target workloads
develop tools and methodology to assess the performance of future Intel products
partner with others to identify and develop system enhancements to improve future Intel products
influence Intel's next-generation product roadmap and architectural decisions