Processor Researcher/Engineer

Responsibilities - Take part in the design, modeling and development of multiple families of CPU/ NPU cores. You will develop libraries for design-space exploration and software-hardware co-design. - Research and develop novel computer architectures (e.g., CPU/NPU/GPU/TPU cores, domain-specific accelerators, memory hierarchies, emerging interconnect technologies) to address cutting-edge compute challenge - Design, model, and optimize methodologies for high-performance logic synthesis, physical design, verification, and AI-driven design-space exploration. - Develop libraries for software-hardware co-design and system-level optimization. - Work with architecture, software, ASIC, and circuit design teams to define microarchitecture (e.g., memory systems, interconnects) and translate research insights into scalable silicon solutions. - Define and implement coverage strategies, verification plans, and functional validation at multiple levels (RTL, system). - Perform trade-off analysis of hardware implementations for performance, power, and area (PPA). - Publish research in top-tier conferences (e.g., ISCA, MICRO, DAC) and contribute to patent filings. Qualifications - Ph.D. in in Electrical Engineering, Computer Engineering, Computer Science, or related field. - Solid understanding of computer system architecture (including aspects like super-scalar and out-of-order execution), multi-core/AI-core architectures, cache coherency, and emerging paradigms (e.g., neuromorphic/quantum systems). - Proficiency in tools/methods for logic synthesis, physical design, formal verification, DFT, or AI-driven optimization (e.g., ML for placement & routing). - Advanced C++/Python; familiarity with SystemC, TCL, AArch64 assembly, or ML frameworks (PyTorch/TensorFlow) is a plus. Service Skills - Experience with RTL design (Verilog/System Verilog), architecture simulators (Gem5, SST), and ASIC toolchains. - Low-power/high-speed circuit design, complex RTL module development, or AI-driven architecture exploration will be bonus skills - Curiosity-driven, problem-solving oriented, and passionate about bridging theoretical research with real-world impact.