Google Walk-In Recruitment in Bengaluru, A Research Engineer in Chip Design at Google DeepMind works at the intersection of AI and semiconductor generation. This characteristic consists of designing and optimizing chip architectures using device reading, reinforcement mastering, and deep studying techniques. Engineers collaborate with hardware architects and AI researchers to enhance universal performance, reduce strength intake, and enhance format automation. Google Walk-In Recruitment in Bengaluru They make contributions to the improvement of AI-driven equipment along with AlphaChip, making sure that modern AI strategies are correctly applied to real-global chip production. By leveraging extremely cutting-edge methodologies, Research Engineers pressure innovation in chip format, helping Google construct more green and effective computing structures.
- Role: Design Engineer
- Experience: 1 – 4 years
- Salary: Not Disclosed
- Â Location: Bengaluru
- Qualification: Any GraduateÂ
- Employment Type: Full Time,
Google Walk-In Recruitment in Bengaluru |Great Opportunity 2025
At Google DeepMind, Research Engineers in Chip Design leverage AI to push the limits of semiconductor innovation. Google Walk-In Recruitment in Bengaluru The artwork with business enterprise specialists to make bigger AI models that automate and optimize chip layout and layout procedures. This interdisciplinary function requires statistics in software application application improvement, tool getting-to-know, and virtual format automation (EDA) tools. Google Walk-In Recruitment in Bengaluru Engineers play a vital characteristic in advancing Google’s AI infrastructure, making chips greater inexperienced and scalable. By taking components with studies corporations and hardware engineers, they bridge the space amongst AI breakthroughs and sensible programs, ensuring contemporary AI fashions can run on the most sophisticated hardware structures.
Google Walk-In Recruitment in Bengaluru At Google DeepMind, you’ll have the possibility to revolutionize AI with the resource of way of using cutting-edge-day-day-day AI to Chip Design. We increase research breakthroughs that affect Google’s products and services. Our group permits the most superior AI models to run at the maximum superior chips, ensuring overall performance, innovation, and sustainability.
About CompanyÂ
Google DeepMind is a global-predominant AI studies lab committed to solving intelligence and using it to decorate technological records and generation. Since its founding, DeepMind has finished groundbreaking advancements in AI, collectively with AlphaGo, AlphaFold, and AlphaZero, remodeling industries from healthcare to gaming. Google Walk-In Recruitment in Bengaluru With a project to push the limits of AI studies and use it in real-international demanding situations, DeepMind collaborates carefully with organizations throughout Google, contributing to fashionable trends in tool getting-to-know, robotics, and hardware acceleration.
Google Walk-In Recruitment in Bengaluru DeepMind’s interdisciplinary approach integrates AI research with fields collectively with neuroscience, arithmetic, and engineering. Its paintings in reinforcement reading, deep reading, and AI ethics guarantee that synthetic intelligence stays aligned with human values at the same time as driving technological improvement. The lab is home to some of the brightest minds in AI, fostering a way of life of collaboration, hobby, and innovation.
DeepMind’s AI-driven contributions to chip format have set new requirements in average performance and present-day popular performance. By combining superior AI strategies with hardware expertise, the lab is transforming how chips are designed and optimized, ensuring the following era of computing is greater powerful, inexperienced, and sustainable. With a strong determination to analyze excellence and real-international effect, DeepMind continues to influence the AI revolution.
Roles at DeepMind
- Research Engineer (Chip Design) – Develop AI-driven answers for chip layout, improving performance and everyday regular standard performance.
- Software Engineer (AI Systems) – Build scalable and robust software software software program solutions integrating AI for hardware layout.
- Machine Learning Scientist – Conduct cutting-edge studies on AI strategies applicable to chip optimization.
- Hardware Architect – Design subsequent-generation chip architectures in collaboration with AI studies organizations.
- Data Engineer – Develop information pipelines and analytics for AI-pushed chip layout strategies.
Key Responsibilities
- Research and enforce AI-based absolutely solutions for chip format, optimization, and verification.
- Collaborate with bypass-beneficial agencies which incorporate researchers, engineers, and product developers.
- Develop and test machine analyzing models for boosting chip layout, ordinary overall performance, and power performance.
- Contribute to open-supply duties and post studies papers in pinnacle-tier conferences.
- Prototype new methodologies and integrate them into Google’s hardware development pipeline.
Required Skills
- Strong programming abilities in Python, C++, or Java.
- Experience in Machine Learning, Deep Learning, or Reinforcement Learning.
- Familiarity with Electronic Design Automation (EDA) devices and methodologies.
- Proficiency in statistics structures, algorithms, and mathematical optimization strategies.
- Ability to work in a short-paced, interdisciplinary studies environment.
Job Description
At DeepMind, we charge types of experience, facts, backgrounds, and perspectives and harness one’s tendencies to create excellent effects. We are devoted to equal employment possibility irrespective of intercourse, race, faith or perception, ethnic or national foundation, disability, age, citizenship, marital, domestic or civil partnership reputation, sexual orientation, gender identification, pregnancy, maternity, or related state of affairs (on the facet of breastfeeding), or a few one of a kind basis as included via manner of applicable law. If you have been given a disability or greater need that calls for inns, please do now not hesitate to allow us to realize.
Education and Qualifications
- Bachelor’s, Master’s, or Ph.D. In Computer Science, Electrical Engineering, or a related task.
- Strong foundation in AI, gadget getting-to-know, and chip format requirements.
- Experience with big-scale computing frameworks and cloud-based honestly AI systems.
- Prior research courses or contributions to open-deliver AI duties.
- Ability to translate research standards into realistic applications for chip format.
About Us
We boom and exercise state-of-the-art AI strategies and fashions to Chip Design and artwork closely with research and product companies at some point in Google. Our business enterprise consists of research scientists, studies engineers, and software program engineers who’ve already made a big effect on real products via study breakthroughs. We recognize on pioneering new mind that might emerge as destiny merchandise. Google Walk-In Recruitment in Bengaluru Our collaborations with hardware engineers and architects allow us to convey novel thoughts to lifestyles and combine them into actual international packages.
We have currently participated in and received the IWLS 2023 Programming Content through the use of way of the usage of Deep Learning, Simulated Annealing, and Reinforcement Learning to commonplace feel synthesis. Google Walk-In Recruitment in Bengaluru Our AI floorplanning device, AlphaChip, has been instrumental in designing more than one generation of Google’s TPUs, which encompass the modern-day Trillium series. Our task is to explore new Google Walk-In Recruitment in Bengaluru technological regions and leverage our learnings to deliver groundbreaking research and applications. At Google DeepMind, we foster a completely precise lifestyle in which prolonged-term formidable research grounded in real-global challenges can thrive.
Benefits of Google DeepMind
- Cutting-Edge Research Opportunities – Work on groundbreaking AI studies with corporation leaders and pinnacle-tier scientists.
- Collaborative Work Environment – Join a set of noticeably expert professionals operating for the duration of AI, engineering, and chip layout.
- Comprehensive Compensation and Benefits – Competitive sales, stock options, medical medical medical health insurance, and properly-being programs.
- Professional Growth and Learning – Access to non-prevent analyzing conferences, and expertise improvement applications.
- Flexible and Inclusive Workplace – Emphasis on artwork-lifestyles balance, variety, and an inclusive business enterprise lifestyle.
This record offers an entire evaluation of the location, obligations, and impact of Athe I-driven chip format at Google DeepMind.
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