Embedded Software Engineer, Android Automotive Perception
Google - San Jose, California, United States, 95199
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Overview
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Embedded Software Engineer, Android Automotive Perception
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Google Embedded Software Engineer, Android Automotive Perception
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Embedded Software Engineer, Android Automotive Perception
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Google Bachelor’s degree or equivalent practical experience. 2 years of coding experience in one or more of the following languages: C, C++, Java, or Python. 2 years of Android application development experience.
Minimum qualifications:
Bachelor’s degree or equivalent practical experience. 2 years of coding experience in one or more of the following languages: C, C++, Java, or Python. 2 years of Android application development experience.
Preferred qualifications:
Master's degree in computer science or related technical fields.
About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Automotive industry executives say there will be more change in their business in the next 5 years than they have seen in the last 50 years. The Android Auto team collaborates with vehicle manufacturers to develop and deliver on this massive opportunity, building on a proven embedded platform to create a leading Assistant-powered, navigation, entertainment, and communication vehicle system, which will be delivered to specialized people-moving devices.
The US base salary range for this full-time position is $141,000-$202,000 + 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
Investigate, scope, design, and develop new features and improvements for the Android Automotive platform. Investigate, diagnose, and address performance bottlenecks and stability issues within the platform. Your work will boost system responsiveness and reliability. Work closely with our OEM partners to understand their needs and build solutions that support their vehicle features and roadmaps. Use your debugging skills to identify and resolve challenging software issues. Work effectively with other engineering teams to ensure our solutions are robust and integrated.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
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