Google

CPU Emulation Engineer, Silicon

Google$163K — $236K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
  • 8 years of experience with industry-standard emulation or FPGA prototyping platforms (e.g., Synopsys ZeBu/HAPS, Cadence Palladium/Protium, Siemens Veloce).
  • Proficiency in RTL design using Verilog or SystemVerilog.
  • Experience in writing scripts or developing automation workflows in Python, Perl, TCL, or Makefiles.

Responsibilities

  • Architect and drive advanced RTL partitioning, FPGA synthesis, and validation strategies for emulation platforms.
  • Define and execute test suites, performance benchmarks, and software workloads for pre-silicon verification.
  • Guide advanced debugging to rapidly isolate and resolve functional failures in multi-million gate designs.
  • Lead initiatives to optimize model compile times and improve FPGA routing efficiency.
  • Architect custom automation workflows and collaborate with design verification and silicon teams.

Benefits

  • Opportunity to work in flexible locations including Austin, Mountain View, Portland, or Poughkeepsie.
  • Access to comprehensive benefits offered by Google.
  • Engage with cutting-edge technology in a collaborative environment.
Full Job Description
info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Mountain View, CA, USA; Portland, OR, USA; Poughkeepsie, NY, USA.

Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with industry-standard emulation or FPGA prototyping platforms (e.g., Synopsys ZeBu/HAPS, Cadence Palladium/Protium, Siemens Veloce).
  • Experience in RTL design using Verilog or SystemVerilog.
  • Experience writing scripts or developing automation workflows in Python, Perl, TCL, or Makefiles.

Preferred qualifications:
  • Experience scaling compilation and routing across multi-FPGA and enterprise emulation platforms.
  • Experience verifying and troubleshooting complex semiconductor IP blocks.
  • Experience collaborating with cross-functional design verification (DV) and silicon design teams.


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. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Architect and drive advanced Register-Transfer Level (RTL) partitioning, Field-Programmable Gate Array (FPGA) synthesis, and validation strategies for industry-standard emulation platforms such as Synopsys ZeBu, Cadence Palladium, or Siemens Veloce.
  • Define and execute comprehensive test suites, complex performance benchmarks, and software workloads to ensure pre-silicon verification and system-level validation.
  • Guide advanced debugging methodologies to rapidly isolate and resolve complex functional failures within multi-million gate subsystem designs and full-chip environments.
  • Lead initiatives to optimize model compile times, improve FPGA routing efficiency, and maximize hardware resource utilization across enterprise emulation farms.
  • Architect custom automation workflows using modern scripting languages and collaborate with IP design and verification stakeholders to streamline continuous integration.


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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