Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 1 year of experience with software programming in C++, Java, Python or Go.
- 1 year of experience with data structures and algorithms.
Preferred qualifications:
- Master's degree in Computer Science, or a related technical field.
- Experience in software system development.
- Ability to proactively identify and solve issues.
- Ability to grow in a fast-paced and time-sensitive environment.
- Excellent collaboration skills for teamwork in building complex systems.
- Passion for emerging AI technologies and a proactive mindset to embrace and apply AI/LLM solutions in daily engineering workflows.
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.
As part of the Android and Pixel Software Development Lifecycle (SDLC) team, we design and implement foundational infrastructure, intelligent tools, evaluation methodologies and metrics to transform the Android and Pixel development and deployment experiences in the age of AI. Leveraging the latest on-device and cloud-based AI technologies, we work with engineers, researchers and product managers across Google to optimize functionality, stability, and release velocity of mobile devices, by engineering a next-generation, AI-native SDLC ecosystem.
In this role, you will contribute to advanced automatic analyzing and reporting tools, improve experience in bug reporting, automation, and issue analysis. You will utilize Google's infrastructure, cloud computing and AI, gain experience in Android performance diagnostics, building data pipelines, integrating AI into mobile applications, and impact the Android and Pixel SDLC ecosystem.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
Responsibilities
- Develop and maintain back-end features for carrier configuration tools, integrating intelligent agents to automate global network compliance checks.
- Build and test cloud-native virtualization solutions to simulate next-generation Android and advanced mobile technologies, including 5G and Non-Terrestrial Networks (NTN).
- Design and write automated debugging tools that format unstructured subsystem logs into Large Language Model (LLM) friendly representations for real-time anomaly detection.
- Implement smart bug curation algorithms and clean dashboard interfaces, using multi-agent workflows to automate triage and reduce issue noise.
- Collaborate with cross-functional and cross-team partners to build diagnostics tooling, leveraging automated pattern-matching.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
