The Staff Software Engineer role at Google DeepMind focuses on developing systems for evaluating AI agents. The team is dedicated to building a general-purpose learning agent and requires expertise in software engineering to tackle complex challenges. Engineers will work closely with Machine Learning and Neuroscience researchers to create testing systems and graphical visualizations. This position emphasizes collaboration and innovation in the field of artificial intelligence.

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field or equivalent practical experience.
• 8 years of experience in software development.
• Experience in designing, building, and maintaining high-performance distributed systems or processing pipelines.
• Experience leading architectural migrations or cross-team infrastructure projects.
• Proficiency in Python.

• Design and optimize distributed evaluation execution engines capable of orchestrating large volumes of inference steps across TPU and Google compute unit pools with high throughput and low latency.
• Build foundational abstractions to evaluate complex LLM agent loops, tool use, and automated LLM-as-a-judge rating systems.
• Design error classification, automated retry policies, and observability dashboards to maintain strict service level objective (SLOs) for evaluation pipeline success rates.
• Partner closely with GDM research scientists and Data Science teams to anticipate frontier model evaluation requirements and translate them into elegant infrastructure solutions.
• Mentor fellow engineers, set high standards for code quality, and advocate testing and system design practices.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.