Senior Silicon System and Software Integration Engineer, Google Cloud

Google LLC

Sunnyvale, CA

JOB DETAILS
SALARY
$163,000–$237,000 Per Year
SKILLS
ASIC (Application Specific Integrated Circuit), ASIC Design, ASIC Verification, Architectural Services, Artificial Intelligence (AI), Blog, Cloud Computing, Computer Architecture, Computer Engineering, Computer Firmware, Computer Science, Cookies, Cross-Functional, Customer Service Management, Customer Support/Service, Debugging Skills, Design Verification, Electrical Engineering, Embedded Systems, English Language, Equal Employment Opportunity (EEO), FPGA, Functional Testing, Genetics, Government, Graphic Design, Greek Language, Hardware Design, Hardware-Software Integration, IP (Internet Protocol), International Business, International Sales, Intrusion Prevention Systems, Investor Relations, Machine Learning, Mechanical Engineering, Network Operations Center, Operations Research, Performance Modeling, Product Development, Product Engineering, Product Management, Product Support, Public Affairs, Public Policy, RCS (Revision Control System), Realtime Operating System, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Risk, Sales, Sales Management, Simulation, Software Architecture, Software Design, Software Engineering, Software Simulation, Software Validation, Solution Sales, System Integration (SI), System Validation, Technical/Engineering Design, Test Design, Test Plan/Schedule, Validation Testing
LOCATION
Sunnyvale, CA
POSTED
30+ days ago

Senior Silicon System and Software Integration Engineer Google Cloud - Google Careers

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Senior Silicon System and Software Integration Engineer Google Cloud

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Google Sunnyvale CA, USA

Mid Mid

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

  • Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science or a related field or equivalent practical experience.
  • 5 years of experience in at least two of the following: computer architecture, embedded firmware, ASIC design or verification, or the integration and enablement of first/third party IPs.
  • Experience in hardware/software integration and validation.
  • Experience with register-transfer level (RTL) development, design verification and evaluation.

Preferred qualifications

  • Masters degree or PhD in Electrical Engineering, Computer Engineering or Computer Science with an emphasis on computer architecture.
  • 4 years of experience with CPython software design principles.
  • Experience integrating complex hardware/software systems in accelerators.
  • Experience developing firmware for embedded systems or accelerators.
  • Experience in debugging firmware using simulation tools.
  • Knowledge of real-time operating system (RTOS) internals.

About the job In this role youll 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 Googles most demanding AI/ML applications. Youll be part of a team that pushes boundaries developing custom silicon solutions that power the future of Googles TPU. Youll 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.

Be part of the TPU team that builds Machine Learning Accelerator ASICs for Google and positively impact Googles products and billions of Google users across the globe.

In this role you will be working on ASIC development, validation, software tools and methodologies and have the ability to push the boundaries of chip development and hardware-software integration and validation. You will own cross-functional workstreams focused on end-to-end hardware-software integration and validation to demonstrate hardware, software and system functionality and performance. You will 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. You will 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.

As a Silicon System and Software Integration Engineer you will be responsible for demonstrating and delivering functional and performant hardware and software systems. You will be responsible for coordination, debugging and enablement of the platform.

The AI and Infrastructure team is redefining whats 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. Were the driving force behind Googles 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 $163,000-$237,000 (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

  • Review chip specifications and designs, developing integration plans with software and system partners while coordinating hardware/software delivery.
  • Lead the bringup of ML compute features, integrating and validating complex hardware/software designs including third-party IPs.
  • Develop validation firmware to verify hardware functionality.
  • Execute hardware-software co-simulation methodologies leveraging RTL emulation and field-programmable gate array (FPGA) environments.
  • Utilize architectural simulators and performance models to correlate results.
  • Design validation tests and microbenchmarks to verify IP functionality and performance.
  • Author comprehensive test plans in coordination with cross-functional teams including Design, Design Verification (DV), Firmware and Architecture.
  • Own debug discussions with Design, DV, Software, Architecture teams and help root cause functional failures and performance issues throughout 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 Googles 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 Googles 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.

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Equal Opportunity 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 Googles EEO Policy. Know your rights: workplace discrimination is illegal. Belonging at Google and How we hire.

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