Teams at EnCharge AI

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.

Lead block-level physical implementation from synthesis and floorplan through CTS, routing, and sign-off. Optimize PPA via deep timing, power, and congestion analysis, automate flows with Tcl/Python, resolve DRC/LVS/IR/timing issues, and collaborate with RTL/DFT teams to left-shift constraints and ensure clean GDSII tape-outs.