Robotics Reliability Engineer

At Google DeepMind, we're at the forefront of artificial intelligence research and development. We're seeking a Robotics Reliability Engineer to join our Robotics Research Engineering team. In this role, you'll work closely with software engineers and robotics AI researchers to enhance the reliability, performance, and observability of our robot software systems. Your primary focus will be on improving robot data collection and AI policy evaluation reliability by identifying and resolving issues across the robotics stack, and supporting significant horizontal scaling.

Key responsibilities include:

• Developing metrics to pinpoint systemic issues and prioritize their resolution
• Collaborating with researchers, software engineers, and operators to debug and solve workflow-related issues
• Designing reliable tools for monitoring and deploying robotics systems at scale
• Leveraging tools to streamline diagnosis and management of our robot fleet and workstations

We're looking for candidates with:

• A background in software engineering or site reliability engineering
• Experience with distributed systems
• Passion for robotics and improving complex robotic systems
• Skills in developing metrics for system health monitoring
• A collaborative mindset

Additional advantages include familiarity with ROS, open-source deployment tools, experience with Python, C++, Docker, Shell scripting, and Cloud infrastructure, and the ability to analyze complex systems.

At Google DeepMind, we value diversity and are committed to equal employment opportunity. We use our technologies for widespread public benefit and scientific discovery, collaborating on critical challenges while prioritizing safety and ethics. Join us in shaping the future of AI and robotics!