Senior Imaging and On-Device Machine Learning Software Engineer, Silicon

Job Description

Position: Senior Imaging and On-Device Machine Learning Software EngineerLocation: New Taipei, Banqiao District, New Taipei City, TaiwanExperience Level: MidAbout the JobGoogles 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. Were 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 Googles 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.In this role, you will leverage your expertise in imaging and machine learning software and architecture to prototype proof-of-concept user experiences and use-cases for future Google Tensor SoC-based Pixel devices, powered by the most advanced Google research in Generative AI and Computational Photography. Googles mission is to organize the worlds information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make peoples lives better through technology.Responsibilities

• Contribute to imaging, machine learning and multimedia systems architecture and design for Googles Tensor SoCs and Pixel devices.
• Build prototype/production software across the camera, machine learning, and multimedia software stack including kernel and user mode drivers, Android HAL and framework, ML stack, and application to prove feasibility of new and emerging use-cases on future Tensor SoCs.
• Optimize power and performance of imaging and Generative AI use-cases running on-device.
• Collaborate with multimedia IP and architecture, system architecture and device software teams to take the prototypes into production.
• Perform detailed system analysis for complex imaging and Generative AI user experiences to identify performance and power bottlenecks and areas for optimizations, and communicate the analysis results in both quantitative and qualitative fashion.

Minimum Qualifications:

• Bachelors degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 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.

Preferred Qualifications:

• Experience with mobile SoC architecture and multimedia subsystems such as Camera ISP, TPU/NPU, GPU, Video Codecs, Display Engine and Security.
• Experience with system architecture analysis for complex imaging and multimedia user experiences to identify performance and power bottlenecks and areas for optimization.
• Experience with ML inference pipeline development and optimization.
• Experience with system software development in C/Cfor mobile SoC on Android, and GPU/DSP software development for imaging and computer vision applications in languages such OpenCL and CUDA.
• Experience collaborating with multiple teams/stakeholders to launch new features and use-cases on mobile devices.

NoteInformation 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.

Keyskills :
machine learning optimization embedded operating systems software design architecture imaging software development system performance analysis artificial intelligence system analysis data structures system software development dsp algorithms