Teams at EnCharge AI

Lead block-level and top-level physical design for advanced AI semiconductor chips from netlist through foundry tapeout. Responsibilities include floorplanning, placement, clock tree synthesis, routing, timing closure, PPA optimization, power-grid verification, EM/IR resolution, flow automation using Tcl/Python, and collaboration with physical verification and foundry teams.

Own end-to-end embedded software program execution across firmware, drivers, bootloaders, hardware, architecture, compiler, runtime, and validation teams. Align software milestones with tape-out, silicon and board bring-up, validation, and customer delivery. Identify and resolve cross-team risks, manage schedules and operating cadence, support platform enablement, and coordinate distributed engineering teams and external partners for AI accelerator deployments.

Leads customer and partner solution development for AI acceleration platforms, including system design, benchmarking, performance tuning, proof-of-concepts, deployment, technical pre-sales, reference applications, partner enablement, and ecosystem collaboration. Influences product roadmaps while integrating AI hardware, software, systems, and customer workloads for edge, datacenter, and embedded applications.