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CPU Emulation Engineer, Silicon

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-08-16
Job specializations:
  • Engineering
    Hardware Engineer, Test Engineer, Systems Engineer, Electronics Engineer
Salary/Wage Range or Industry Benchmark: 163000 - 236000 USD Yearly USD 163000.00 236000.00 YEAR
Job Description & How to Apply Below

Google Austin, TX, USA ;
Mountain View, CA, USA ; +3 more ; +2 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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

.

  • 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 System Verilog.
  • 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.

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 .

  • 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity…

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