Senior Research Engineer

Key responsibilities

• Works closely with business and technology leaders to identify research and development opportunities based on long-term business strategy and objectives.
• Provides business and technology leaders with active support enhancing the forward direction and innovative potential of their areas.
• Develops real world solutions to difficult technology problems through innovative yet programmatic approaches.
• Develops compelling and easy to understand use cases as well as software and systems prototypes.
• Serves as a recognized technical expert. Mentors and provides guidance to more junior level engineers.
• Serves as a liaison between departments, coordinating and providing leadership in interdepartmental research projects and efforts, for example, organizing and directing the Research summer internship program.
• Represents Verisign in related external forums to build our reputation as an industry thought leader; publicizes research results in appropriate internal and external forums.

Education and experience requirements

• Bachelors and Masters degrees in Computer Science, Engineering or a related technical field are required; PhD is preferred.
• 8-10+ years’ experience in research engineering, ideally with a mix of professional and academic experience.
• Experience with systems development research and/or prototype development.
• Experience with network security, including cryptography, privacy, identification, and authentication.
• Experience presenting ideas and prototypes at public forums, such as technical conferences.
• Authorship on one or more peer reviewed publication(s).
• Experience with open standard Internet protocols and/or services (such as DNS, IP, RDAP, etc.).
• Experience with large scale data analysis and evaluation of network traffic data.
• Deep hands on technical skills combined with experience working in research teams on fast paced, high impact projects.
• Knowledge of *nix operating systems.
• Strong development background.
• C, C++, Java, and/or Python.
• SQL, NoSQL, or equivalent data storage schema creation and use.