Google

ASIC Design Verification Engineer, Digital Signal Processing

Google$163K — $237K *
Telecommunications & Hardware
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field.
  • 8 years of design verification experience focused on digital signal processing, communication systems, or arithmetic logic blocks.
  • Proficiency in scripting languages like Python, Perl, or Makefile for automation.
  • Master's degree or PhD in a relevant technical field is preferred.
  • Experience with Mixed-Signal verification techniques such as RNM or SystemVerilog-AMS is a plus.
  • Functional knowledge of adaptive equalization architectures and timing recovery loops is beneficial.
  • Programming skills in Python, MATLAB, or C/C++ for testbench automation.

Responsibilities

  • Verify RTL implementations against high-level reference models using verification methodologies.
  • Assess the stability and performance of adaptive equalization loops and timing recovery systems.
  • Model and verify the interface between Digital DSP blocks and the Analog Front End using RNM or SystemVerilog-AMS.
  • Design and maintain UVM-based simulation environments and functional coverage metrics for signal processing blocks.
  • Contribute to the verification strategy for high-speed PHY digital blocks.

Benefits

  • Comprehensive health insurance coverage.
  • Retirement savings plan with company contributions.
  • Generous paid time off and holiday schedule.
  • Employee development programs and tuition reimbursement.
  • Equity options to participate in company ownership.
Full Job Description
Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field.
  • 8 years of experience in design verification (DV) with a focus on digital signal processing (DSP), communication systems, or arithmetic logic blocks.
  • Experience with scripting in Python, Perl, or Makefile for automation.

Preferred qualifications:
  • Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related technical field.
  • Experience with Mixed-Signal verification techniques such as Real Number Modeling (RNM, SystemVerilog-Wreal) or SystemVerilog-AMS.
  • Functional knowledge of adaptive equalization architectures (FFE/DFE) and timing recovery loops.
  • Programming proficiency in Python, MATLAB, or C/C for testbench automation and reference modeling.


About the job

In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

In this role, you will define and execute the verification strategy for high-speed Physical Layer (PHY) digital blocks. This role focuses on the functional and mathematical verification of complex DSP algorithms, digital-analog boundaries, and signal processing logic. This position requires a strong technical foundation in communication theory, fixed-point arithmetic, and mixed-signal co-simulation.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $237000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Verify RTL implementations against high-level architectural reference models (MATLAB, C , or SystemC) using bit-exact and fixed-point verification methodologies.
  • Verify the stability, tracking capability, and convergence of adaptive equalization loops (FFE, DFE) and timing recovery systems under varying channel impairments.
  • Model and verify the functional interface between Digital DSP blocks and the Analog Front End (AFE) using Real Number Modeling (RNM) or SystemVerilog-AMS.
  • Design, implement, and maintain scalable UVM-based simulation environments, SystemVerilog Assertions (SVA), and functional coverage metrics for digital signal processing blocks.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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