Senior Principal Researcher - AI Systems Architecture
Core
Lead end-to-end AI system, memory, and hardware architecture, developing abstractions connecting AI model execution with platform capabilities.
Role type
Senior Principal Researcher (AI Systems Architecture)
Builds
Next-generation AI hardware, analytical models, simulators, prototypes, and experimental systems
Domain
Semiconductor industry + AI infrastructure + Computer Architecture
Deliverable
production ML models
Required skills
Pre-silicon architectural exploration, performance modeling, feasibility analysis, hardware/software co-design, memory system design, accelerator-based system design, high-bandwidth memory architecture, advanced packaging, interconnect design, LLM workload analysis, cycle-accurate simulation, system-level trade-off evaluation
Preferred skills
Technical innovation via research/patents/publications, collaboration across research and product engineering
Technologies
DRAM, HBM, CXL, GPU memory systems, host-memory interfaces, 2.5D/3D integration, high-speed scale-up interconnects
Responsibilities
Identify cross-layer opportunities across workloads, runtimes, memory systems, and hardware; Analyze emerging AI workloads including computation, memory access, communication, and power requirements; Drive pre-silicon architectural exploration and implementation pathfinding; Evaluate trade-offs across performance, bandwidth, latency, power, thermal limits, silicon area, and cost; Build analytical models, simulators, and prototypes to validate hypotheses; Collaborate across research and product engineering, publish research, and mentor contributors
Seniority
Principal, strategy & mentorship
