Do you have a passion for understanding how things work, and ultimately, how they break? Do you enjoy working with discovering vulnerabilities and debugging programs with tools like gdb or QIRA? Does creating automated, scalable and reverse engineering tools and pipelines excite you? If you answered yes to these questions, this is the job for you!
In this role, you will work with disassemblers and debuggers to quickly understand how embedded devices operate. You will use and build tools that push past the edge of current tools and techniques. In a given day you will research and debug an embedded device while getting the chance to bounce ideas off of a close-knit team of researchers. We have the tools and the mentors you will need to take yourself to the next level and who are eager to learn from your experience.
Key Qualifications
- Bachelor’s degree in related field with 5 years of experience; or master’s degree in related field with 2 years of experience; or PhD in related field; or an equivalent combination of education and/or experience in a related field
- Ability to understand C or C++
- Experience with OS internals
- Strong understanding in reading assembly language and using debugging tools
- Ability to use a scripting language (Python, Perl, Ruby, etc.)
- Experience working with disassemblers such as IDA Pro, Binary Ninja, or radare2
- Understanding of networking fundamentals
- Experience with PC and embedded systems architectures such as x86, ARM, MIPS, PowerPC and others
- Ability to work individually and in small fast paced team environments
- Passion and drive to constantly need to improve your skill set
- Must Be US Citizen and have an active SECRET US security clearance
Preferred Qualifications
BONUS TALENTS
- Experience using fuzzing tools such as AFL or Peach
- Concolic analysis research and implementation
- Experience emulating embedded platforms for live debugging
- Experience with microcontrollers
SOME OF THE EXTRAS THAT MAKE WORKING HERE GREAT
- Learn (tuition assistance, paid training) and teach (get published, speak at a conference)
- Software and Intellectual Property development royalty sharing
- Mentorship and learning culture
- Internally funded and guided research projects with large amounts of individual autonomy