Cybersecurity Software Engineer - GTRI-CIPHER

Overview:

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

• Students are our top priority.
• We strive for excellence.
• We thrive on diversity.
• We celebrate collaboration.
• We champion innovation.
• We safeguard freedom of inquiry and expression.
• We nurture the wellbeing of our community.
• We act ethically.
• We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

The Georgia Tech Research Institute (GTRI) is seeking software engineers to join the Threat Analysis Branch of the Cybersecurity, Information Protection, and Hardware Evaluation Research (CIPHER) Lab.

Job Duties:

• The Software Engineer will work closely with researchers to produce high quality software systems and tools to solve cybersecurity and/or intelligence analysis problems. These systems will work with very large datasets, require careful software design, and incorporate state-of-the-art machine learning techniques and other data analysis algorithms.

The Cyber Security Software Engineer designs, develops, and tests cybersecurity software in languages such as Java, C, and C++. The Cyber Security Software Engineer requires extensive knowledge of programming languages, software development, and computer operating systems in order to apply engineering principles to software creation. The necessary skill areas for the Cyber Security Software Engineer include programming and coding, fundamentals of computer science, design and architecture, algorithms and data structures, information analysis, debugging software, and testing software.

The Cyber Security Software Engineer also creates novel cyber security technology components and software to ensure that critical systems and information are resilient to cyber exploits and attacks. The researcher also performs attendant vulnerability assessments, analysis, and software engineering and design. The Cyber Security Software Engineer also develops hardware and software prototypes, and tests those prototypes in realistic environments.

• Perform software development, software testing/debugging, software modification/enhancement, and software documentation
• Develop and maintain kernel and user-level software and scripts
• Contribute to technical reports and presentations
• Assist with performing software assurance scans with tools approved by stakeholders

• Experience with at least two of the following:
  Java, Python, C languages,
• Thorough understanding of software development & design patterns and best practices
  
  Familiarity with software development tools and workflows, including source control (e.g., git),
• Experience with network analysis and/or security best practices and the network stack
• Understanding of cybersecurity issues and/or intelligence analysis
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills

• Experience with Machine Learning tools and techniques
• Experience designing non-trivial software tools, systems, and frameworks
• Experience analyzing large datasets and adapting state-of-the-art algorithms/techniques

• Experience working with graph databases and graph algorithms
• Malware analysis
• Hands-on network administration in an IT-type role
• Experience with Natural Language Processing (NLP)