Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in C or Python.
- Experience with program analysis.
Preferred qualifications:- Master's degree or PhD in Computer Science or a related technical field.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
- 2 years of experience with data structures and algorithms in either an academic or industry setting.
- Experience with security or privacy.
- Experience with static or dynamic analysis.
- Experience with Android security or privacy.
About the jobOur team builds security and privacy analysis infrastructure for Google Play and Android to detect malicious and abusive apps. Together with partner teams across Android, Ads, Chrome, Search and Cloud, we help Google protect users with safe experiences on our app platform and ecosystem.
This is a unique opportunity to be part of the team, which is responsible for building detection technologies to protect Android users from malware and abuse.
Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Build automated runtime analysis platform at Google scale using cloud virtualization infrastructure.
- Build full-stack solutions including app instrumentation, networking, app crawling, anti-cloaking, leveraging artificial intelligence (AI) where applicable, to build exceptional dynamic analysis-based detection and reverse-engineering solutions.
- Work broadly with security, privacy and abuse engineering and product teams to land impact protecting Android and Play users against malware and all kinds of mobile threats.
- Design and build Google-scale automations to scan Android apps with dynamic analysis.
- Collaborate with other teams in the organization and Google to deliver impact.
