Researchinnovations.Com22mo ago

DoD SkillBridge Vulnerability Researcher (Cyber199)

St. PetersburgFull-timemid

SecurityOtherVulnerability Researcher

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Overview

Research Innovations, Inc. (RII) is breaking through the big, slow, status quo with transformative technology that fundamentally changes and improves the world.

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SecurityOtherVulnerability Researcher

Research Innovations, Inc. (RII) is breaking through the big, slow, status quo with transformative technology that fundamentally changes and improves the world. We develop cutting-edge software for all levels of the government and military. Using agile development practices and user-centered design, we create innovative software solutions for complex real-world problems.

We are seeking a dedicated Vulnerability Research SkillBridge candidate to join our Cyber Security team. In a Vulnerability Research SkillBridge opportunity at RII, you will play a pivotal role in solving unique and challenging problems for our esteemed Defense and Homeland Security customers. This position requires a proactive mindset, deep technical expertise in vulnerability research, reverse engineering, and exploit mitigations/bypasses, and a drive to live one of our core values: Get s#!t done.

This position is specifically for members of the DoD who are transitioning back to civilian life and can take advantage of programs such as SkillBridge. RII has strong connections to the military community, and we understand the transition to civilian life can be stressful—we will help you navigate those challenges. We are an approved DoD partner, and we have supported the transition of several active duty members to civilian roles, many of whom have been offered and accepted full-time employment with RII at the completion of their Skillbridge. During and after, RII provides an industry-leading mentorship and training program to selected applicants, supporting challenging, real, mission-oriented problems.

This position requires an active US Secret security clearance.

Conducting in-depth reverse engineering and vulnerability analysis across various architectures and platforms, including x86/64, ARM, PowerPC, and more

Researching and analyzing operating system and application internals, identifying and understanding security strengths and weaknesses of those systems

Developing and enhancing functionality by adding features and capabilities to undocumented interfaces

Modeling and analyzing in-memory compiled application behavior to identify potential vulnerabilities and improve security measures

Developing and understanding mobile/embedded systems and kernel modules, particularly related to vulnerability research

Participating actively in our extensive Vulnerability Research mentorship program, sharing knowledge and collaborating with colleagues

Proficient understanding of wireless networking and associated security protocols, such as Wi-Fi (802.11), Bluetooth, or cellular networks (2G/3G/4G/5G). Familiarity with common vulnerabilities and attack vectors in wireless communication

Strong grasp of legacy exploit mitigations and bypass techniques, including but not limited to Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP/NX), Stack Cookies (Canaries), and Control Flow Integrity (CFI). Experience in identifying and circumventing these security measures

In-depth knowledge of both security and network fundamentals, such as cryptography, authentication, access control, and network protocols (TCP/IP, UDP, DNS, HTTP, etc.). Understanding the security implications and potential vulnerabilities associated with these concepts

Programming experience with both scripted languages (preferably Python3) and compiled languages (preferably C). Ability to write efficient and secure code for vulnerability research and exploit development purposes

Familiarity with low-level architectures such as x86, ARM, or MIPS. Understanding the underlying principles, instruction sets, and memory models of these architectures for vulnerability identification and analysis

Experience with operating system internals and implementations, including Windows, Linux, or macOS. Knowledge of system structures, process management, memory management, and security mechanisms at the kernel level

Excellent oral, written, and interpersonal communication skills, with the ability to effectively convey complex technical concepts and interact with customers and team members alike

Experience with vulnerability research and reverse engineering of real-time operating systems (RTOS), such as FreeRTOS, QNX, or VxWorks. Understanding the unique security challenges and attack vectors specific to RTOS environments

Bachelor's or postgraduate degree in Computer Science, Computer Engineering, or a related field

Experience with software protection and binary armoring techniques, such as anti-debugging, code obfuscation, or tamper resistance. Understanding the methods employed to protect software from reverse engineering and vulnerability discovery

Proficiency in agile development methodologies, including Scrum or Kanban, for efficient collaboration and iterative development in a cybersecurity context

Familiarity with low-level iOS/Android development and associated security considerations, such as jailbreaking or rooting, application sandboxing, or secure interprocess communication (IPC)

Knowledge of hypervisors and their security implications, including virtualization-based security, guest escape vulnerabilities, or hypervisor-based rootkits

Proficiency in malware analysis, including static and dynamic analysis techniques, behavioral analysis, and code deobfuscation. Experience in identifying and analyzing malware samples to understand their capabilities and potential vulnerabilities

Experience with constraint solving techniques, such as symbolic execution, theorem proving, or model checking, for vulnerability identification, verification, and exploit generation

Background in machine learning, particularly in the context of vulnerability analysis and detection, such as using ML techniques to identify patterns in code or analyze network traffic for anomaly detection