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.