Silicon System and Software Integration Engineer, University Graduate
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- Experience with any two of the following areas: computer architecture, embedded firmware, digital system, ASIC design or verification.
- Experience with RTL development, design verification, or evaluation.
- Experience with hardware/software integration or validation.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience developing firmware for embedded systems or accelerators.
- Experience integrating complex hardware/software systems.
- Experience with C++/Python software design principles.
- Proficiency in debugging firmware using simulation tools or 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.
Be part of the TPU team that builds Machine Learning Accelerator ASICs for Google and positively impact Google’s 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 support cross-functional work streams focussed on 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 may write firmware, RTL, scripts, and/or test content to integrate and demonstrate subsystem and system functionality. You will validate this functionality on simulation, emulation, and/or post-silicon environments.
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.
The US base salary range for this full-time position is $113,000-$161,000 + 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 specification and design, develop the integration plan with software and system partners, coordinate hardware and software 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 hardware and software co-simulation methodologies leveraging RTL simulation, emulation, FPGA environments as appropriate. Leverage architectural simulators and/or performance models as required to correlate performance.
- Assist debug discussions with Design, Design Verification, Software or Architecture teams and help root-cause functional failures and performance issues through the product development cycle.
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.