Cake 求人検索

Minimum qualifications: Currently enrolled in a PhD program in Computer Science and Engineering, Machine Intelligence and Data Science, AI, or a related technical field. Experience in one or more areas of Machine Learning (e.g., Large Language Models, Deep Learning, Natural Language Understanding, Computer Vision, etc.). Experience programming in Python. Preferred qualifications: Currently enrolled in a full-time degree program and returning to the program after completion of the internship. Experience as a researcher, including internships, full-time, or at a lab. Experience contributing to research communities or efforts, including publishing papers in conferences or journals. Experience with one or more ML frameworks (e.g., TF, JAX, Flax, etc.). Experience working with big-data or training a foundational model. Ability to design and execute on research agendas. About the jobResearch happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps, and Google Now, and is central to the success of Google Cloud and our computing, storage, and networking infrastructure.Research Interns work with Research Scientists and Software Engineers to discover, invent, and build at scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. You are also expected to contribute to the wider research community by publishing papers.This research internship is part of AI Innovation and Research (AIR), the applied research arm of Platforms and Devices organization. Within AIR, we focus on both foundational research and AI solutions to deliver the next generation of products in Platforms and Devices. This involves collaborating with Android, Chrome, XR, Home and other teams within Platforms and Devices.Our work encompasses—but is not limited to—on-device intelligence, foundational models, privacy, performance optimization for resource-constrained environments, novel ML architectures and AI-driven product experiences.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Participate in research to develop solutions for problems. Research, conceive, and develop ML solutions to accelerate different teams in platforms and devices. Contribute to deeper understanding of limitations of ML architectures, trade-offs and optimizations. Lay down the next steps for adoption of the research into next generation product development. 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India.Minimum qualifications: Pursuing a PhD program with a focus in software development or other technical related field. Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.). Experience working in Unix/Linux environments. Experience with data structures, algorithms, and software design. Preferred qualifications: Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems. Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python Objective C, Go or similar. Experience in computer science, with competencies in data structures, algorithms and software design. About the jobJoin us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.Our recruitment team will determine where you fit best based on your resume.As a Software Engineering intern, you will work on a specific project critical to Google’s needs.Software Engineering Intern:As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, test, deploy, and maintain software solutions as you grow and evolve during your internship.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Create and support a productive and innovative team including working with peers, managers, and teams. Develop scalable engineering solutions for Google products. Analyze information and evaluate results to choose the best solution to effectively solve issues. Apply knowledge gained in computer science courses to real world challenges. 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.

Please complete your application before July 31, 2026.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Currently pursuing a PhD degree in Computer Engineering, Computer Science, Electronics and Communication Engineering, Electrical Engineering, or a related technical field Experience in programming languages (e.g., C++, Python, Verilog, UVM), Synopsys and Cadence tools Experience in one or more of the following areas: hardware system integration, product design, computer architecture, digital design verification, digital circuits, ASIC physical design, FPGAs, embedded systems, memory systems Preferred qualifications: Experience with performance modeling tools, C++, Python or silicon design tools in front end/design verification/physical design Knowledge of arithmetic units, bus architectures, accelerators or memory hierarchies; computer architecture; linear algebra; or ML/DL background Knowledge of high performance and low power design techniques Currently attending a degree program in India and available to work full time for 12 weeks outside of university term time About the jobAs a Silicon Engineering Intern, you will work in a team that is shaping the future of Google Cloud Silicon, including TPUs, arm-based servers, and network products. You will collaborate with hardware and software architects and designers to architect, model, analyze, define, and design next-generation Cloud Silicon. You will have dynamic, multi-faceted responsibilities in areas such as product definition, design and implementation, collaborating with the Engineering teams to drive the optimal balance between performance, power, features, schedule, and cost.The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements and manages the hardware, software, machine learning and systems infrastructure for all Google services (e.g., Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers, and people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest Cloud Silicon products to running a global network, while driving towards shaping the future of hyperscale computing. Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Responsibilities may vary based on specific teams. 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.