Google Inc.
Senior Software Tools Engineer, Pixel Platform Realization
Google Inc., Mountain View, California, us, 94039
Senior Software Tools Engineer, Pixel Platform Realization
Google Mountain View, CA, USA Overview
The Pixel Platform Realization team drives the foundation of future Pixel devices by delivering fully validated and characterized hardware platforms. We are responsible for the end-to-end architecture, design, simulation, and implementation of platform reference designs, ensuring they meet the highest standards. Through the development of cutting-edge toolsets, robust validation methodologies, and technology development vehicles, our team enables the on-schedule delivery of the entire Pixel product portfolio. Join us to build the core of the next generation of Pixel innovation. Responsibilities
Develop, maintain, and support software tools and custom tools and lab instruments to enable characterization, troubleshooting, and optimization of Google Pixel products. Create performant firmware, drivers, and UI software for advanced processor and FPGA-based test, validation, and protocol-analysis/exercising instruments using C, C++, and Python. Collaborate with cross-functional hardware, software, silicon, and system engineering teams to design and implement specialized test benches and fixtures. Work with these partners to validate instrument performance, generate comprehensive data sheets and documentation, and support engineering users. Develop new features and capabilities for our AI platform for schematics understanding and automated design review. Qualifications
Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience working with embedded operating systems. 3 years of experience building low level device drivers. Preferred qualifications
Master's degree or PhD in Computer Science or related technical field. Experience developing software for test and measurement equipment. Experience with FPGA (Xilinx toolchain, Petalinux). Knowledge of AI/Machine Learning concepts and frameworks. Compensation
The US base salary range for this full-time position is $166,000-$244,000 + 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. About Google
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. 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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Google Mountain View, CA, USA Overview
The Pixel Platform Realization team drives the foundation of future Pixel devices by delivering fully validated and characterized hardware platforms. We are responsible for the end-to-end architecture, design, simulation, and implementation of platform reference designs, ensuring they meet the highest standards. Through the development of cutting-edge toolsets, robust validation methodologies, and technology development vehicles, our team enables the on-schedule delivery of the entire Pixel product portfolio. Join us to build the core of the next generation of Pixel innovation. Responsibilities
Develop, maintain, and support software tools and custom tools and lab instruments to enable characterization, troubleshooting, and optimization of Google Pixel products. Create performant firmware, drivers, and UI software for advanced processor and FPGA-based test, validation, and protocol-analysis/exercising instruments using C, C++, and Python. Collaborate with cross-functional hardware, software, silicon, and system engineering teams to design and implement specialized test benches and fixtures. Work with these partners to validate instrument performance, generate comprehensive data sheets and documentation, and support engineering users. Develop new features and capabilities for our AI platform for schematics understanding and automated design review. Qualifications
Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience working with embedded operating systems. 3 years of experience building low level device drivers. Preferred qualifications
Master's degree or PhD in Computer Science or related technical field. Experience developing software for test and measurement equipment. Experience with FPGA (Xilinx toolchain, Petalinux). Knowledge of AI/Machine Learning concepts and frameworks. Compensation
The US base salary range for this full-time position is $166,000-$244,000 + 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. About Google
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. 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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