Systems Research Engineer/Scientist
Core
Prototype, characterize, and analyze target workloads; develop tools and methodology to assess the performance of future Intel products; partner to identify and develop system enhancements.
Role type
Systems Research Engineer/Scientist
Builds
Next-generation data center networks, high-performance cluster computing, virtualization, accelerated computing, disaggregated compute architectures, memory tiering, and system-level modeling and simulation.
Domain
Semiconductor industry, high-performance computing, system architecture, AI/ML workloads
Deliverable
production ML models | product features | research
Required skills
computer architecture, system software (OS/VMM memory management, scheduling, kernel/driver architectures), scripting languages (Python/Perl/PowerShell/shell), C/C++, Linux installation/configuration, performance benchmarking
Preferred skills
VMMs/containers and orchestration tools, modeling and analysis (AI inference or training), hardware and software performance monitoring (EMON, VTune, Perf, sysstat), AI/ML frameworks (Pytorch, CUDA, vLLM, Triton, NCCL, oneCCL, oneAPI), GPU performance profiling (Unitrace, Nsight, Omnitrace), high-performance and cloud-native architectures (MPI, DPDK/SPDK, micro-services, containers, protobuf, gRPC), data science methods (Pandas, R, MATLAB), automation frameworks
Technologies
Pytorch, CUDA, vLLM, Triton, NCCL, oneCCL, oneAPI, MPI, DPDK, SPDK, protobuf, gRPC, EMON, VTune, Perf, sysstat, Unitrace, Nsight, Omnitrace, Pandas, R, MATLAB
Responsibilities
Prototype and characterize target workloads; develop tools and methodology to assess product performance; partner with others to identify and develop system enhancements; influence product roadmap and architectural decisions
Seniority
Senior, hands-on IC
