Senior Hardware Emulation Architect – AI Accelerators

Google LLC; Sunnyvale (CA); Presencial; USD 163.000 - 236.000; Jornada completa

Descripción de la vacante

Google LLC in Sunnyvale, CA is seeking a Senior Hardware Emulation Engineer to help shape AI/ML hardware acceleration. You will develop and verify full-chip emulation platforms and collaborate across firmware, software, and verification teams.

You will bring up high-speed interfaces, optimize toolchains, and partner with EDA vendors to improve emulation throughput for complex SoCs enabling Google's TPU architecture and AI infrastructure.

Formación

• Bachelor's degree or equivalent practical experience in Electrical/Computer Engineering.
• 8+ years with hardware emulation systems and related verification experience.
• Experience with Verilog/SystemVerilog, C/C++, Python/Perl/TCL, CI/CD, and high-speed protocol debugging.

Responsabilidades

• Build, compile, and debug full-chip and multi-die SoC RTL models and tests on hardware emulation platforms.
• Bring up external interfaces (PCIe, HBM, DDR5, UCIe, Ethernet, USB) on emulation platforms using transactors, Accelerated VIPs, and speed bridges.
• Explore verification and emulation methodologies, gather feedback and implement new emulation workflows and CI/CD automation.
• Partner with firmware, system software, and post-silicon validation teams to drive pre-silicon co-verification and silicon bug reproduction on emulation.
• Support emulation and software teams in debugging hardware, tooling, compile, and runtime issues, acting as a technical interface to emulation vendors.

Conocimientos

Hardware emulation

Verilog/SystemVerilog

C/C++

Python/Perl/TCL scripting

CI/CD automation

High-speed protocol debugging

Vendor interfacing

Educación

Bachelor's degree in Electrical Engineering, Computer Engineering, or related field

Herramientas

Palladium

ZeBu

Veloce

Verdi

SimVision/Indago

GDB

Descripción del empleo

Google LLC in Sunnyvale, CA is seeking a Senior Hardware Emulation Engineer to help shape AI/ML hardware acceleration. You will develop and verify full-chip emulation platforms and collaborate across firmware, software, and verification teams.

You will bring up high-speed interfaces, optimize toolchains, and partner with EDA vendors to improve emulation throughput for complex SoCs enabling Google's TPU architecture and AI infrastructure.