AI/ML Silicon Emulation Lead, Google Cloud, TPU

Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems

In short

Lead AI/ML Silicon Emulation for Google Cloud TPU in Bengaluru, India. Drive cutting-edge TPU technology and custom silicon solutions. Requires Bachelor's degree and 10 years of experience in electrical engineering, coding, and emulation.

Responsibilities

Build full chip emulation or FPGA prototypes from complex SoC designs and deliver to multiple customers such as software, firmware, platform and post-silicon validation teams.
Bring up system level emulation models through reset, boot, and bare metal content or OS.
Influence the design and verification teams to add emulation friendly model development.
Work with architects, designers, software engineers, pre and post-silicon verification engineers to develop test plans, coverage, and reproduce failures on emulation.
Develop, execute, and debug full-chip/system on a chip (SoC) tests on Emulation platforms.
Explore new verification and emulation methodologies and implement them.

Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
10 years of experience in electrical engineering, coding, and emulation.

Desired Qualifications

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with EDA debug tools (e.g., Verdi, SimVision/Indago, GDB).
Experience with programming and scripting in C, C++, Python, Perl, or TCL.
Understanding of SoC architecture and interfaces (e.g., AXI, DDR, PCIe, etc.).
Understanding of RTL to emulation/FPGA flows including emulation test benches (e.g., transactors/accelerated VIPs, hybrid, in-circuit emulation).

Skills

C++PythonPerlTCLAXIDDRPCIe

#AI#ML#Silicon#Emulation#TPU#Google Cloud

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