Role/Responsibilities:
EnCharge AI is looking for a senior hardware architect, who can lead the definition of the architecture & microarchitecture for critical blocks of our high-performance AI chips. You must have experience in defining architectures for high-performance chips and a successful track record of enabling HW-SW codesign in prior roles.
- Collaborate with the AI Algorithms & Compiler teams to lead the microarchitectural definition (and detailed specifications) for primary AI chip blocks.
- Helping build chip-simulators, performance models, assemblers, and disassemblers for new architectures.
- Work closely with the AI compiler and FPGA platform teams to optimize the instruction-set & microarchitectures - with the objective of enhancing chip & system level performance (and power efficiency) for AI applications.
- Mapping key AI application kernels on to EnCharge AI chips / simulators etc. to help refine and optimize chip microarchitectures
- Mentor / lead junior engineers across the company.
Qualifications/Required Skills:
- Computer architecture, system design and chip design
- Masters/Ph.D. in EE/CS with >5 years of industry experience in chip-design, architecture & systems.
- Experience with large-scale FPGA platforms (e.g., Synopsys Zebu or Cadence Palladium).
- Solid understanding and evaluation of performance bottlenecks in AI architectures.
- Experience with building performance models and simulators for new architectures.
- Knowledge of industry-standard (and advanced) tools and methodologies.
- Proficiency with System-C / RTL (VHDL or Verilog) / C++ / Python.
- Excellent verbal and communication skills.
Preferred/Beneficial Skills:
- Experience with PCIe, DMA engines and chip-level infrastructures.
