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ASIC Formal Verification Engineer, Google Cloud
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As an ASIC Formal Verification Engineer, you will contribute formal verification expertise to verify the digital designs, with a specific focus on TPU architecture and its integration within AI/ML- driven systems. You will be part of a team developing ASICs used to accelerate computation in data centers. You will have responsibilities in areas such as project definition, formal verification, and silicon bringup. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Plan the formal verification strategy, create the properties and constraints for the digital design blocks.
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Utilize formal property verification tools combined with formal verification closure techniques to verify properties.
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Resolve difficult to verify properties.
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Contribute improvements to methodologies to enhance formal verification results.
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Architect and implement reusable formal verification components.
Minimum qualifications
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Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
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4 years of experience with formal and design verification.
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Experience with System Verilog or Verilog.
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Experience working with one or more formal verification tools (e.g., Jasper, VC Formal, Questa Formal, 360-DV).
Preferred qualifications
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Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science.
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6 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based Integrated Circuits (ICs) and chips.
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Experience with scripting languages.
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Excellent communication and collaboration skills.
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Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
10개 리뷰
4.5
10개 리뷰
워라밸
3.2
보상
4.3
문화
4.1
커리어
4.2
경영진
3.8
82%
지인 추천률
장점
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
단점
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
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57,503개 데이터
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면접 후기
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3.4
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14-28주
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44%
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