Firmware Security Engineer — AI-Driven Fuzzing Platform

Aquent; Redmond (WA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health, vision, and dental plans

Paid sick leave

401(k) retirement plan with company‑mÂ

Free online training via Aquent Gym (A

Job summary

Aquent is partnering with a leading technology company to build a groundbreaking firmware security analysis platform in Redmond, WA. You will contribute to automated analysis, IR transformations, and fuzzing workflows across hardware ecosystems.

The role spans from low-level compiler infrastructure to AI-assisted development, collaborating with security researchers, compiler engineers, and platform teams. You will write tested, maintainable code, participate in design reviews, and help drive

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience.
• Strong professional experience developing software in C/C++.
• Hands-on experience with compiler technologies, IR, or low-level systems programming.
• Experience working with fuzzing frameworks such as libFuzzer, AFL, AFL++ or similar technologies.
• Strong understanding of software security principles, including memory-safety vulnerabilities and root-cause analysis.
• Proficiency with Python for automation and tooling development.
• Experience using Git-based development workflows.
• Demonstrated ability to write well-tested, maintainable, and documented production code.

Responsibilities

• Build and enhance security analysis pipelines, including preprocessing C/C++ firmware code into IR.
• Implement and maintain IR-based transformations for off-target analysis and fuzzing.
• Create and improve code-analysis workflows, including call-graph extraction and metadata generation.
• Design and maintain fuzzing campaigns using modern frameworks and AI-assisted techniques.
• Improve crash triage systems for automated identification and deduplication of findings.
• Develop automated mechanisms to classify code semantics and improve analysis accuracy.
• Build scalable automation combining compiler infrastructure, security tooling, and AI-driven workflows.
• Enhance vulnerability detection and reduce false positives through improved analysis techniques.
• Improve reporting systems to turn findings into actionable engineering insights.
• Validate analysis approaches across diverse firmware targets and environments.
• Write clean, well-tested code and participate in design reviews and architecture discussions.

Skills

C/C++ development

Python scripting

Git workflows

Security principles

Automation tooling

Education

Bachelor's degree in Computer Science or related

Tools

libFuzzer

AFL

AFL++

Job description

Aquent is partnering with a leading technology company to build a groundbreaking firmware security analysis platform in Redmond, WA. You will contribute to automated analysis, IR transformations, and fuzzing workflows across hardware ecosystems.

The role spans from low-level compiler infrastructure to AI-assisted development, collaborating with security researchers, compiler engineers, and platform teams. You will write tested, maintainable code, participate in design reviews, and help drive