Senior Software Engineer, Agentic Data Tooling, DeepMind

Senior Staff Software Engineer, Agentic Data Tooling, Deep Mind

Preferred working location:
New York, NY, USA;
Mountain View, CA, USA;
London, UK

• Bachelor's degree in Computer Science, IT, a related field, or equivalent practical experience.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 5 years of experience in systems design, product management, or software engineering roles.

At Google Deep Mind our mission is to build the world's first general‑purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Senior Staff Software Engineer you will work on the cutting‑edge AI agents developed by a team of Machine Learning and Neuroscience researchers. Your responsibilities include creating systems for agent testing using 2D and 3D games, developing test problems within physics simulators, building graphical visualizations of results, constructing competitive agent leaderboards, and testing new algorithms on robots.

This role involves a strong foundation in software engineering and will address a wide range of challenging problems in a mission‑driven team.

Shape the future of AI by building the core infrastructure and tooling that powers Gemini's agentic capabilities. Through advanced data curation and creation you will drive the development of next‑generation evaluation frameworks:

• Smith Bench – a gold‑standard benchmark testing whether AI agents can autonomously execute complex, end‑to‑end, first‑party Google engineering workflows such as CL life cycles, bug investigations, and pipeline orchestration.
• RE‑Bench – a benchmark designed to measure agent performance on highly complex, long‑horizon research engineering tasks.

Additional responsibilities:

• Design and create novel data tooling to accelerate Gemini model evaluation, training, and hill climbing to improve agentic capabilities.
• Facilitate ingestion and creation of corpora representing complex worlds, and record human, agentic, and hybrid trajectories through RL environments.
• Build scalable data collection pipelines bridging multi‑turn, tool‑using agent interactions and enabling rapid iteration on environment complexity and reward design.
• Create human‑in‑the‑loop annotation and trajectory review tooling, analytics dashboards, and agentic orchestration frameworks to continuously generate, curate, and validate high‑signal training corpora at scale.

US: $262,000 – $365,000 (USD) + 25% bonus target + bonus + equity + benefits

Google is a global company that is an equal‑opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

English proficiency is a requirement for all roles unless otherwise stated.