Senior ASIC RTL Engineer, Silicon
Bengaluru, Karnataka, Indiaonsitemidfull timeToday
About the job:
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Responsibilities:
Perform RTL coding, function/performance simulation debug, and Lint/Clock Domain Crossing (CDC)/Formal Verification (FV)/Unified Power Format (UPF) checks.
Participate in synthesis, timing/power closure, and FPGA/silicon bring-up.
Own and execute the RTL design and micro-architecture for high-performance Fabrics and Network-on-Chip (NoC) subsystems from concept to tape-out.
Write production-quality SystemVerilog code for complex logic including credit-based flow control, asynchronous bridges, and cache coherency controllers.
Debug complex silicon issues and architectural bugs by digging into waveforms and gate-level simulations.
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
8 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or SystemVerilog.
Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, or a related field.
Experience with a scripting language like Perl or Python.
Experience with ASIC or FPGA design verification, synthesis, timing/power analysis, and DFT.
Experience in one or more functional areas, such as coherent fabrics (e.g., AMBA CHI/AXI), memory controllers (e.g., LPDDR5, DDR5), or I/O controllers (e.g., PCIe, CXL).
Experience with design sign-off and quality tools (e.g., Lint, CDC, etc.).
Knowledge of memory compression, fabric, coherence, cache, or DRAM.
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