Senior Software Engineer, AI/ML, Search Agentic Development
About the role
MINIMUM QUALIFICATIONS:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming
languages.
- 3 years of experience developing large-scale infrastructure, distributed
systems or networks, or experience with compute technologies, storage or
hardware architecture.
- 3 years of experience with Agentic development.
- Experience integrating generative AI tools or LLM interfaces into workflows.
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
ABOUT THE JOB:
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.
Our team focuses on building infrastructure to support AI-based development in
Search. We work closely with partner teams on enabling them in their
journey—using agents to build new features, migrate, and more. In this role, you
will be at the forefront of the "vibe coding" revolution within Google Search.
You will be responsible for building, scaling, and maintaining the agentic
skills and tools that empower Search feature teams to rapidly develop and ship
solutions using advanced AI agents.
Your work will directly unlock the ability for more vertical teams across Search
to adopt vibe coding, turning complex manual workflows into fast, automated,
agent-driven processes.
In Google Search, we're reimagining what it means to search for information –
any way and anywhere. To do that, we need to solve complex engineering
challenges and expand our infrastructure, while maintaining a universally
accessible and useful experience that people around the world rely on. In
joining the Search team, you'll have an opportunity to make an impact on
billions of people globally.Individual pay is determined by factors including
job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to
ensure best practices amongst available technologies (e.g., style guidelines,
checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content
based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the
sources of issues and the impact on hardware, network, or service operations
and quality.
- Design and implement solutions in one or more specialized ML areas, leverage
ML infrastructure, and demonstrate expertise in a chosen field.
Responsibilities
- Write and test product or system development code.
- Collaborate on design and code reviews to promote engineering best practices.
- Maintain documentation and educational content based on product updates and user feedback.
- Triage, debug, and resolve product or system issues.
- Design and implement solutions in specialized machine learning areas using ML infrastructure.
- Build, scale, and maintain agentic skills and tools that help Search teams develop and ship features.
Qualifications
- Bachelor’s degree or equivalent practical experience.
- 5 years of software development experience in one or more programming languages.
- 3 years of experience with large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture.
- 3 years of experience with agentic development.
- Experience integrating generative AI tools or LLM interfaces into workflows.
- Preferred: Master’s degree or PhD in Computer Science or a related technical field.
- Preferred: 5 years of experience with data structures and algorithms.
- Preferred: 1 year of experience in a technical leadership role.
Benefits
- 15% target bonus
- Equity
- Google benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.