Senior Software Engineer, Frontend/Fullstack, Connect Sales AI Platform, Google Ads

Responsibilities

The engineer will design, develop, test, and maintain software solutions for the Google Ads platform using AI and machine learning. They will also participate in design reviews, provide code feedback, and triage system issues to ensure high-quality product delivery.

Requirements

Candidates must have a bachelor's degree and at least 5 years of software development experience, including 3 years in frontend development. Proficiency in software design, architecture, and technical leadership is required, with a preference for advanced degrees in computer science.

Skills

• Software Development
• Frontend Development
• User Interface Development
• Software Architecture
• Data Structures
• Algorithms
• Technical Leadership
• Machine Learning
• Generative AI
• Distributed Computing
• Information Retrieval
• Networking
• Data Storage
• Security
• Natural Language Processing
• Mobile Development

Benefits

• Bonus
• Equity
• Health Insurance

About this 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 with front-end and user interface development.
* 3 years of experience testing, maintaining, or launching software product.
* 1 year of experience with software design and architecture.

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.

With your technical expertise you will manage project priorities, deadlines, and
deliverables. You will design, develop, test, deploy, maintain, and enhance
software solutions.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine
learning and Generative AI models like Gemini to power a multi-billion dollar
global business.

Our work directly impacts billions of users by protecting users from harm,
improving ad quality, and optimizing campaigns for advertiser
return-on-investment. We foster a culture of deep collaboration, partnering
closely with teams like Google Research and DeepMind to solve complex
challenges. Join us to work on state-of-the-art AI, take on problems at an
unparalleled scale, and build the next generation of advertising
technology.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.
* Participate in, or lead design reviews with peers and stakeholders to decide
amongst available technologies.
* Review code developed by other developers and provide feedback to ensure best
practices (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.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA