
Staff Software Engineer, Search Evals
Google · Posted Oct 30
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
Google's Search team develops infrastructure and products that let users search for information across surfaces. The team works on complex engineering challenges at massive scale, including AI/ML evaluation and distributed systems. This role leads architecture for Search's AI Developer Tools Platform, including evaluation infrastructure and high-fidelity queryset pipelines, and drives agentic workflows.
What you will do
- Design, develop, and evolve the core architecture of Search's AI Developer Tools Platform across evaluation infrastructure and high-fidelity queryset pipelines.
- Provide technical leadership on high-impact projects.
- Lead initiatives to architect and integrate autonomous agentic workflows into the Search software and prompt development lifecycle, demonstrating and advocating for AI-native engineering practices.
- Influence and coach a distributed team of engineers.
- Drive cross-team technical strategy as a thought leader—collaborating with the wider team and partners to align platform evolution with Search's broader AI architecture.
- Own critical platform areas end-to-end, ensuring they deliver the scalability, reliability, statistical excellence, and low latency required to support 10x AI-driven development velocity across Search.
Skills used in this role
What the employer is looking for
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- Experience designing and scaling large-scale distributed systems, data/ML pipelines, or developer platforms in C++, Python, Java, or Kotlin.
- Experience with AI/ML evaluation frameworks, LLM/agentic orchestration, autoraters, prompt optimization, or large-scale experimentation infrastructure.
Preferred qualifications
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience in containerization and orchestration frameworks (e.g., Kubernetes, Docker).
- AI fluency and experience building or leveraging generative AI/agentic tools to accelerate software engineering workflows.
- Ability to articulate, influence, and drive multi-quarter architectural changes across multiple engineering teams, research partners, and cross-functional stakeholders.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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