Silicon Hardware Emulation Engineer, Google Cloud

Google LLC

Sunnyvale, CA

JOB DETAILS
SALARY
SKILLS
ASIC (Application Specific Integrated Circuit), ASIC Verification, Artificial Intelligence (AI), Boundary Scan, C Programming Language, C++ Programming Language, Campaigns, Channel Strategies, Cloud Computing, Computer Architecture, Computer Engineering, Computer Science, Construction, Debugging Skills, Design Verification, Electrical Engineering, Electronic Design Automation, Emulators, English Language, Equal Employment Opportunity (EEO), Ethernet, Fonts, Functional Testing, Genetics, Graphic Design, Hardware Debugging, Industry Standards, Input/Output, Machine Tool, Memory Hardware, Memory Subsystem, Network Operations Center, Network Security, Network Support, Operations Management, Operations Research, PCI Express (PCI-E), Performance Analysis, Perl Programming Language, Product Management, Project/Program Management, Prototyping, Python Programming/Scripting Language, RTL Design, Recruiting/Staffing Agency, Regulatory Requirements, Retail, Scripting (Scripting Languages), Security Design, Serial Link Design, Software Development, Software Engineering, Stock Purchase Plans, SystemVerilog, Systems Administration/Management, Tcl-Tk, Technical Leadership, Test Case, Test Plan/Schedule, USB, Vendor/Supplier Relations, Verification Engineering, Verilog Hardware Description Language
LOCATION
Sunnyvale, CA
POSTED
30+ days ago

Silicon Hardware Emulation Engineer, Google Cloud - Google Careers

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Silicon Hardware Emulation Engineer, Google Cloud

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corporate_fareGoogleplaceSunnyvale, CA, USA

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

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Minimum qualifications:

  • Bachelor"s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 4 years of industry experience with RTL design (e.g., Verilog or System Verilog) and simulation (e.g., VCS, Incisive or Questa).
  • Experience with coding or scripting in C, C++, Perl, TCL or Python.
  • Experience with emulation systems (e.g., ZeBu, Palladium, Veloce), compilation, debugging, performance and methodology enhancements.

Preferred qualifications:

  • Master"s degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience with RTL design (e.g., Verilog or System Verilog) and simulation (e.g., VCS, Incisive or Questa).
  • Experience with performance analysis/debug techniques.
  • Knowledge of external input/output (I/O) interfaces, such as Peripheral Component Interconnect Express (PCIe), Double Data Rate 5 (DDR5), High Bandwidth Memory (HBM), Serial Peripheral Interface (SPI), or Joint Test Action Group (JTAG).
  • Understanding of computer architecture including industry standard interfaces and memory subsystems.

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.

In this role, you will help develop and maintain emulation infrastructure, tools, and workflow methodologies supporting our ASIC projects.You will help create ASICs representing a significant investment in time and money, and a successful prototyping campaign helps to ensure success of these critical projects. However, as designs continue to increase in size and complexity, emulation becomes even more important in meeting verification and bring-up milestones. You will provide excellent emulation infrastructure and methodologies essential to support these projects.

You will work directly with other emulation team members as well as designers, verification engineers, and software teams. You will interface with our external vendors, lab support teams, networking and security, and Electronic design automation (EDA) tooling and methodology teams to deliver emulation based prototyping capabilities for our ASIC projects. You may also assist in compiling projects targeting our prototyping platforms, debugging issues in both infrastructure and design, and assisting in the hardware and lab bring up and verification of our ASIC systems.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 behind Google"s groundbreaking innovations, empowering the development of 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Help own, maintain and upgrade our emulation infrastructure and act as a primary interface to emulation vendors.
  • Explore emulation methodologies, gather feedback from the team and implement new emulation workflows and methodologies.
  • Support emulation team members in debug of hardware, tooling, and project specific issues, as well as software team members in running and debugging tests and performing functional validation on emulation platforms.
  • Bring up external interfaces (e.g., Universal Serial Bus (USB), Peripheral Component Interconnect Express (PCIe), or Ethernet on the emulation platforms and create standalone test cases for tool issues encountered in the emulation compile and runtime flows.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

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 regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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