Principal Engineer – NPU Compiler & Architecture
Sign up free to see how well your resume matches this role.
About this role
Architecture & Micro-Architecture
· Define product feature and capabilities and own the architecture for compute, memory, interconnect & high-speed interface subsystems in the AI inference chip.
· Collaborate with various software teams to co-optimize hardware features for AI workloads.
· Collaborate with RTL designers to identify complex technical issues/risks. Review and guide RTL implementation, ensuring consistency with architectural intent and timing/power goals
· Collaborate with Physical-design teams for Area/Floorplan refinement, Timing targets etc.
· Define and document interface specifications, control/status logic, and pipeline structures.
· Lead PPA analysis and trade-off discussions across RTL and architecture.
AI Workloads & HW-SW Co-Design
· Collaborate closely with various software to co-optimize hardware features for real-world AI inference workloads.
· Incorporate considerations such as, quantization, sparsity, dataflow, scheduling, memory bandwidth into architectural decisions.
· Guide hardware features that improve programmability, debuggability, and long-term software scalability.
Modelling & Analysis
· Develop and maintain high-level architecture and performance models.
· Use simulation and architectural models to guide RTL-level improvements.
· Validate model predictions against RTL or emulation results and refine accordingly.
· Strong understanding of AI inference workloads, dataflows, quantization, and memory/bandwidth bottlenecks in edge deployments
#LI-2734Company
Company facts come from this company's own listings. We only show what the postings themselves carry.