Silicon System and Software Integration Engineer, TPU

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
ASIC (Application Specific Integrated Circuit), ASIC Design, ASIC Verification, Advertising, Architectural Services, Artificial Intelligence (AI), C++ Programming Language, Cloud Computing, Computer Architecture, Computer Engineering, Computer Firmware, Computer Science, Construction, Cross-Functional, Debugging Skills, Design Verification, Electrical Engineering, Embedded Systems, English Language, Equal Employment Opportunity (EEO), FPGA, Functional Testing, Genetics, Graphic Design, Hardware Design, Hardware-Software Integration, IP (Internet Protocol), Internet Security, Internet of Things, Intrusion Prevention Systems, Manufacturing Operations Management, Network Operations Center, Operations Management, Operations Research, Operations Security (OPSEC), Performance Modeling, Product Development, Product Management, Project/Program Management, Python Programming/Scripting Language, RTL Design, Realtime Operating System, Recruiting/Staffing Agency, Regulatory Requirements, Requirements Management, Retail, Simulation, Software Architecture, Software Design, Software Engineering, Software Simulation, Software Validation, Stock Purchase Plans, Supply Chain Operations, System Integration (SI), System Validation, Technical Leadership, Test Plan/Schedule, Test Scripts, Testing, YouTube
LOCATION
Sunnyvale, CA
POSTED
9 days ago

Silicon System and Software Integration Engineer, TPU - Google Careers

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Silicon System and Software Integration Engineer, TPU

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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 experience in two or more of the following areas: computer architecture, embedded firmware, ASIC design or verification, or integration and enablement of first- or third-party IP.
  • Experience in hardware and software integration or validation.
  • Experience with RTL development, design verification, or evaluation.

Preferred qualifications:

  • Master"s degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience with C++/Python software design principles.
  • Experience integrating complex hardware/software systems.
  • Experience developing firmware for embedded systems or accelerators.
  • Proficiency in debugging firmware using simulation tools and/or working knowledge of RTOS internals.

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 be working on cutting-edge ASIC development, validation, software, tools, and methodologies and have the ability to push the boundaries of chip-development and hardware/software integration and validation.

Own cross-functional work streams focused on hardware/software (HW/SW) integration and validation to demonstrate HW, SW, and system functionality and performance. Help the chip team accomplish key silicon development criteria, meet chip and system schedules and achieve readiness for production in various silicon and system validation environments. Serve as a key bridge between specification, design, and verification teams as well as compiler and performance teams with technical depth and breadth across the ML compute IP.

You may write firmware, RTL, scripts, or test content to integrate and demonstrate subsystem and system functionality. You will validate this functionality on simulation, emulation, or post-silicon environments.

You will support demonstrating and delivering that complex hardware and software systems are functional and performant. You will support the coordination, debug, and ennoblement of the platform.

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 force 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.

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

  • Review chip spec and design, develop the integration plan with SW and System partners, coordinate HW and SW delivery and demonstrate functionality.
  • Assist bringup of ML Compute features. Integrate and validate complex hardware and software designs, including first- and third-party IPs. Develop firmware to help validate hardware functionality.
  • Utilize HW-SW co-simulation methodologies leveraging RTL simulation, Emulation, FPGA environments as appropriate. Leverage architectural simulators or performance models as required to correlate performance.
  • Develop detailed test plans, based on design specifications coordinated with a cross-functional team (e.g. design, DV, firmware, compiler, architecture).
  • Assist debug discussions with Design/DV/SW/Architecture teams and help root-cause functional failures and performance issues through the product development cycle. Improve validation coverage and sign-off processes for high-quality tapeout and production deployment.

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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