Silicon Subsystems RTL Design Engineer, Google Cloud Google
Google
Office Location
Full Time
Experience: 5 - 5 years required
Pay:
Salary Information not included
Type: Full Time
Location: Karnataka
Skills: Verilog, SystemVerilog, VHDL, synthesis, Microarchitecture, scripting languages, Python, Perl, ASIC development, ASIC design verification, timingpower analysis, Design for Testing DFT, SoC designs, Integration flows, High performance design techniques, Low Power Design Techniques, Arithmetic units, Bus architectures, Processor design, Accelerators, Memory hierarchies
About Google
Job Description
Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. You should possess at least 5 years of experience in ASIC development with Verilog/SystemVerilog and VHDL. It is essential to have experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Additionally, experience in micro-architecture and design of subsystems is required. Preferred qualifications: Ideally, you should have experience in SoC designs and integration flows. Proficiency in scripting languages such as Python or Perl would be beneficial. Knowledge of high performance and low power design techniques is preferred, along with an understanding of arithmetic units, bus architectures, processor design, accelerators, or memory hierarchies. About the job: As a member of our team, you will contribute to shaping the future of AI/ML hardware acceleration, focusing on cutting-edge TPU (Tensor Processing Unit) technology that drives Google's most demanding AI/ML applications. Your responsibilities will involve verifying complex digital designs, specifically related to TPU architecture and its integration within AI/ML-driven systems. You will work on ASICs used to enhance data center traffic, collaborating with various teams to deliver high-quality designs for next-generation data center accelerators. Innovation, problem-solving, and evaluation of design options will be key aspects of your role, with a focus on micro-architecture and logic solutions. The ML, Systems, & Cloud AI (MSCA) organization at Google is responsible for designing, implementing, and managing the hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud. Prioritizing security, efficiency, and reliability, the team works towards shaping the future of hyperscale computing, impacting users worldwide. Responsibilities: - Own microarchitecture and implementation of subsystems in the data center domain. - Collaborate with Architecture, Firmware, and Software teams to drive feature closure and develop microarchitecture specifications. - Perform Quality check flows like Lint, CDC, RDC, VCLP. - Drive design methodology, libraries, debug, and code review in coordination with other IPs Design Verification (DV) teams and physical design teams. - Identify and implement power, performance, and area improvements for the domains owned.,