Systems Software Engineer

Aquent is proud to partner with a leading technology company that stands at the forefront of innovation, dedicated to shaping the future of computing. This organization is committed to transforming how vulnerabilities are identified and mitigated across the industry, focusing on securing critical hardware ecosystems through cutting-edge AI, compiler technology, and automated fuzzing. This is an unparalleled opportunity to join a pioneering team and make a profound impact on the security posture of critical hardware ecosystems, bridging research ideas with production-quality engineering solutions and driving innovation that secures vital systems through advanced analysis technologies. In this dynamic engineering role, your expertise will directly contribute to building and advancing a groundbreaking firmware security analysis platform, instrumental in bridging cutting-edge research with production-quality engineering solutions. You’ll work alongside security researchers, compiler engineers, and platform developers, contributing to the long-term technical strategy and evolution of a critical platform. This role offers a unique chance to work across multiple layers of the technology stack, from low-level compiler infrastructure to modern AI-assisted development workflows, making a tangible difference in securing vital hardware ecosystems.

Responsibilities

Build and enhance security analysis pipelines, including developing preprocessing pipelines for C/C++ firmware code into Intermediate Representation (IR); Implement and maintain IR-based transformations to prepare firmware for off-target analysis and fuzzing; Create and improve code-analysis workflows, encompassing call-graph extraction, metadata generation, and static-analysis integrations; Design and maintain systems for generating and executing fuzzing campaigns using modern frameworks and AI-assisted techniques; Improve crash triage systems for automated identification, deduplication, and analysis of security findings; Develop automated mechanisms to classify code semantics and enhance analysis accuracy; Build scalable automation combining compiler infrastructure, security tooling, and AI-driven workflows; Enhance vulnerability detection pipelines and reduce false positives through improved analysis techniques; Improve reporting systems to transform raw security findings into actionable engineering insights; Validate analysis approaches across diverse firmware targets and environments; Improve system reliability, modularity, test coverage, and CI/CD automation; Create developer documentation, onboarding guides, and architectural references; Support dependency review, reproducible builds, and general open-source readiness activities; Help establish contribution workflows, issue triage practices, and release processes for external contributors; Write clean, maintainable, and well-tested code; Participate in design reviews and technical architecture discussions; Collaborate closely with engineers across security, hardware, and platform teams; Contribute to long-term technical strategy and platform evolution

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a 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

Nice to have

Experience with firmware, embedded systems, device software, or bare-metal development; Knowledge of hardware abstraction layers (HALs), MMIO, emulation, rehosting, or cross-compilation techniques; Experience with static-analysis platforms such as CodeQL; Familiarity with program-analysis concepts such as call graphs, data-flow analysis, or IR transformations; Experience integrating AI, machine learning, or large language model technologies into engineering workflows; Previous open-source contributor or maintainer experience; Experience building CI/CD pipelines and release automation; Familiarity with GitHub or similar development platforms

Benefits

subsidized health, vision, and dental plans; paid sick leave; retirement plans with a match; free online training through Aquent Gymnasium