UX Engineer, Robot Infrastructure, DeepMind
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Minimum qualifications:
- Bachelor's degree in Computer Science, Human-Computer Interaction (HCI), Design, or a related technical field, or equivalent practical experience.
- 4 years of experience in web and full-stack development with front-end frameworks (e.g., TypeScript, Angular) and backend systems (e.g., Python, C++, or Go).
- Experience designing, architecting, and implementing user interfaces.
Preferred qualifications:
- Experience designing and developing real-world applications for robotics or AI systems, particularly where user trust, system transparency, and human-in-the-loop Workflows are critical.
- Experience in robotics tooling, such as spatial interfaces, teleportation dashboards, 3D visualizations, or sophisticated ML data annotation platforms.
- Ability to drive technical direction and lead cross-functional initiatives without requiring established design patterns or precedent.
- Ability to solve technical and design issues at the intersection of software, hardware, and human behavior.
About the job
We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We’re looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Responsibilities
- Manage the unique issues of human-robot interaction, creating intuitive ways for users to interpret robot intent, manage teleoperation, and collaborate with autonomous agents.
- Architect and develop pioneering, full-stack web applications to support real-world robotics fleet management and the high-volume data systems required for machine learning (ML) training and annotation.
- Partner tightly with a various group of ML researchers, hardware engineers, back-end developers, and product managers to translate heavy infrastructure into seamless user experiences.
- Navigate a fast-changing technical landscape by rapidly prototyping, iterating, and adapting solutions to emerging AI capabilities and shifting operational needs.
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