About Us: Google DeepMind is a world-leading research company that pioneers the cutting-edge development of artificial intelligence (AI) technologies. Our mission is to solve intelligence and advance the understanding of AI to benefit humanity. We collaborate with researchers, engineers, and experts from diverse fields to tackle some of the most challenging problems in AI and drive innovation across various domains.

Job Description: We are seeking a talented and passionate Research Engineer with expertise in Chip Design to join our team at Google DeepMind in London. As a Research Engineer, you will play a key role in designing and developing custom chips and hardware accelerators to support our research efforts in artificial intelligence and machine learning. This is a unique opportunity to work on groundbreaking projects at the intersection of AI and hardware design and contribute to advancing the state-of-the-art in AI technology.Responsibilities:

• Collaborate with researchers, hardware engineers, and software developers to define requirements and specifications for custom chips and hardware accelerators.
• Design, implement, and optimize custom hardware architectures and circuits for AI and machine learning applications, including neural network accelerators, specialized processors, and other hardware components.
• Conduct research and development in chip design methodologies, algorithms, and tools to improve the efficiency, performance, and scalability of AI hardware solutions.
• Work closely with external partners, semiconductor vendors, and fabrication facilities to prototype and manufacture custom chips and hardware prototypes.
• Evaluate and benchmark hardware designs using simulation, emulation, and prototyping platforms to validate performance, power, and area targets.
• Analyze and optimize chip architectures and hardware designs for power, performance, and area efficiency across a range of AI workloads and applications.
• Contribute to academic publications, conference presentations, and technical documentation to disseminate research findings and advances in chip design for AI.

Requirements:

• Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, or related field. Advanced degree (MSc or PhD) preferred.
• Strong background in chip design, digital circuit design, and hardware description languages (Verilog, VHDL).
• Proficiency in electronic design automation (EDA) tools and chip design methodologies (RTL design, synthesis, place and route, timing closure, etc.).
• Experience with computer architecture, parallel processing, and hardware accelerators for AI and machine learning (GPU, FPGA, ASIC).
• Familiarity with AI frameworks and software libraries (TensorFlow, PyTorch) and programming languages (Python, C/C++) for AI development.
• Excellent problem-solving skills, analytical thinking, and attention to detail.
• Effective communication skills and the ability to work collaboratively in a multidisciplinary team environment.
• Prior experience in chip design for AI or machine learning applications is a plus.

Benefits:

• Competitive salary and comprehensive benefits package, including health insurance, pension plan, and stock options.
• Opportunities for career growth and advancement in a dynamic and innovative environment.
• Access to state-of-the-art facilities, resources, and research tools to support your work.
• Collaboration with world-class researchers and experts in AI, chip design, and related fields.
• Support for professional development, training, and attendance at conferences and workshops.

How to Apply: If you are passionate about chip design and AI and want to make a meaningful impact on the future of technology, we encourage you to apply for the position of Research Engineer, Chip Design at Google DeepMind in London. Please submit your resume, cover letter, and any relevant work samples or portfolio materials through our online application portal. We thank all applicants for their interest; however, only those selected for an interview will be contacted.Google DeepMind is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. We welcome applicants from all backgrounds and strive to foster an environment that promotes fairness, respect, and belonging for all employees.