Remote Cybersecurity Research Engineer - Reverse Engineering

AI Security Assurance; United States; Remote; USD 140,000 - 160,000; Full time

Benefits offered by this job

Health, dental, and vision benefits

Life insurance

Short-term and long-term disability

Job summary

AI Security Assurance is a remote-first startup researching and developing automated tools for systems security and safety assurance. We seek a senior-born researcher to analyze software behavior, recover insights from code and binaries, and evaluate analysis tools to improve evidence quality.

You will work with AI engineers and systems researchers to design experiments, validate findings, and connect low-level results to higher-level models while navigating complex uncertainties.

Qualifications

• In-depth, hands-on reverse engineering and binary-analysis experience with explanation.

Responsibilities

• Analyze source code and binaries to recover behavior, identify vulnerabilities, and explain triggering conditions.
• Evaluate reverse-engineering and program-analysis tools, investigating errors and ambiguities.
• Help design and review reference cases and datasets for reproducible evaluation of recovery and security-analysis methods.
• Define technical requirements and experiments for analysis tools, building and validating them with AI assistance.
• Connect low-level findings to higher-level models while preserving actual behavior, defects, dependencies, state, and ordering.
• Explain findings and uncertainty clearly, review work, and help teammates develop sound analysis practices.

Skills

Reverse engineering

Binary analysis

C/C++ knowledge

Assembly language

Debugging tools

Scripting/programming

Experiment design

Clear communication

Education

No degree requirement

Tools

Ghidra

IDA

Binary Ninja

Job description

AI Security Assurance is a remote-first startup researching and developing automated tools for systems security and safety assurance. We seek a senior-born researcher to analyze software behavior, recover insights from code and binaries, and evaluate analysis tools to improve evidence quality.

You will work with AI engineers and systems researchers to design experiments, validate findings, and connect low-level results to higher-level models while navigating complex uncertainties.