Staff Software Engineer, Agentic Data and Evals
Google· Internet & Cloud Services· Jul 23, 2026 · 3mo agoPosted 96 days ago
Sunnyvale, CA, USA
In office
Full-time
Staff
$180K–$242K est.
8+ years exp
Before you apply
Ghost Signal:
Open since July 23, 2026 — 96 days, and still accepting applications.
Job description
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The AI Data Generation team charter is generating GenAI data and evaluations for Google. Our team has been instrumental in performing Large Language Model (LLM)/GenAI model evaluations and model fine-tuning (e.g., using RLHF techniques).
DataGen is our evolving self-service data generation platform that enables a typical AI product developer to produce verifiable high-quality data-sets through automation of workflows, with integrations into pre-training, post-training and evaluations infrastructure.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
• Deliver and launch tools/solutions to collect, verify and deliver data/evaluations for a variety of GenAI use cases, including evaluation and improvement of Generative AI models and launches.
• Learn novel GenAI use cases to learn their data needs and identifying solutions leveraging the AI Data Platform.
• Work cross-functionally with Data Science, Product, User Experience/User Experience Research (UX/UXR) and Operations teams.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Manage project priorities, deadlines, and deliverables.
• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, design, and architecture.
• 5 years of experience testing, and launching software products.
• 5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 3 years of experience working in an organization involving cross-functional, or cross-business projects.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, design, and architecture.
• 5 years of experience testing, and launching software products.
• 5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 3 years of experience working in an organization involving cross-functional, or cross-business projects.
Preferred qualifications:
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
Application prep
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