Characteristics Sought by Google in Robotics Experts
Google, a global leader in technology, is on a mission to drive the future of intelligent machines. The tech giant is on the hunt for skilled and passionate robotics engineers to join its innovative team.
To excel in this role, one needs a blend of technical expertise, problem-solving skills, hands-on experience, and a knack for innovation. Google values engineers who can tackle complex robotics challenges with innovative solutions.
The company's robotics innovation extends beyond its main operations, with subsidiaries like Intrinsic and Google DeepMind leading the charge. Google prioritises engineers with expertise in robotics, AI, and machine learning.
Key areas of knowledge for Google robotics engineers include robot perception, machine learning for robotics, control systems, hardware, and programming. The company prefers engineers who have hands-on experience with prototyping, hardware, and real-world robotic projects.
Google seeks engineers who think beyond traditional applications in robotics, such as human-robot interaction, autonomous systems, and soft robotics. Distributed systems and scalable infrastructure for robotics applications are also highly valued.
If you're passionate about advancing robotics, building intelligent systems, and working with some of the brightest minds in AI, Google could be the perfect place for you.
In addition to technical skills, Google values strong communication, teamwork, and leadership skills. Collaboration with AI researchers, software developers, and mechanical engineers is essential in Google's robotics engineering.
To work as a robotics engineer at Google, a university degree in fields like robotics, autonomous systems, mechatronics, electrical engineering, computer science, or information and communications engineering is typically required, often at the master’s level. This is complemented by practical experience in automation, artificial intelligence, and control systems. Additional qualifications such as expertise in AI tools, industrial automation, and project management skills are advantageous.
Google also values knowledge in cloud-based robotics, including IoT and edge computing. Experience with building, testing robots, prototyping, mechanical design, and working with hardware like Raspberry Pi, NVIDIA Jetson, or Arduino is highly valued.
Data-driven robotics using Google Cloud and TensorFlow is a key area of expertise for Google robotics engineers. Staying updated with robotics research papers, attending conferences (ICRA, NeurIPS, CVPR), and contributing to open-source projects can set you apart as a candidate.
Google is developing AI-powered robots for automation, research, and real-world applications. With a strong foundation in mathematics and algorithmic thinking, including linear algebra, calculus, probability, statistics, graph theory, and search algorithms, you could be part of this exciting journey.
If you're ready to join a team that values innovation, collaboration, and lifelong learning, consider applying for a role in Google's robotics engineering team. Together, we can shape the future of intelligent machines.
