Found.dev
Role Highlights
Languages used
SystemVerilog
Python
Perl
Key skills
Machine Learning
Computer Science
Integrations
Electrical Engineering
SOC
Computer Architecture
Testing
PhD
Scripting
Data
Infrastructure
Reliability
Cloud
Operations
Research
Tools, Libraries and Frameworks
Vertex AI
GCP
Verilog
IPS
FirmWare
Description
The role involves developing custom silicon solutions to power Google's direct-to-consumer products. The engineer will contribute to the micro-architecture and implementation of complex subsystems for Application-Specific Integrated Circuits. Collaboration with architecture, verification, power, performance, and physical design teams is required to deliver high-quality designs. The position focuses on accelerating machine learning computation within data centers. Responsibilities include driving design methodology, conducting code reviews, and identifying improvements for power, performance, and area.
Required Qualifications and Skills
Candidates must possess a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. A minimum of 8 years of experience in ASIC or SoC development using Verilog or SystemVerilog is required. Applicants need expertise in micro-architecture, design verification, synthesis, timing and power analysis, and Design for Testing. A Master's or PhD degree with an emphasis on computer architecture is preferred.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Description
At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.
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