QNX Senior Security Researcher

BlackBerry QNX•Ottawa, ON

6d•$108,750 - $158,750

About The Position

QNX enhances the human experience and amplifies technology-driven industries, providing a trusted foundation for software-defined businesses to thrive. The business leads the way in delivering safe and secure operating systems, hypervisors, middleware, solutions, and development tools, along with support and services delivered by trusted embedded software experts. With a focus on reducing hardware dependency and increasing efficiency, QNX empowers organizations to unlock new possibilities in areas like high-performance computing at the edge, standards-based virtualization technologies, and cloud enablement. QNX® technology has been deployed in the world’s most critical embedded systems, including more than 275 million vehicles on the road today. QNX® software is trusted across industries including automotive, medical devices, industrial controls, robotics, commercial vehicles, rail, and aerospace and defense. We're expanding our Product Cybersecurity team and looking for passionate security researchers who love understanding how software fails, uncovering hidden vulnerabilities, and pushing offensive security techniques to the next level. If you're the type of person who can't resist digging deeper into a crash dump, writing custom fuzzing harnesses, reversing software to understand its inner workings, or using AI to uncover attack paths others miss, we'd love to talk to you.

Requirements

Hands-on experience in vulnerability research, penetration testing, exploit development, or offensive security
Practical experience with fuzzing frameworks such as AFL, libFuzzer, or similar technologies
Strong understanding of low-level software internals including memory management, process isolation, POSIX APIs, concurrency, and embedded systems concepts
Familiarity with common vulnerability classes such as: Use-after-free, Heap corruption, Buffer overflows, Race conditions, Privilege escalation, Logic vulnerabilities
Strong programming skills in C, C++, and Python
Experience developing automation and tooling for security testing or vulnerability discovery
A passion for investigating complex systems and finding weaknesses others overlook
The ability to independently drive research initiatives from concept through discovery and validation

Nice To Haves

Experience applying AI or machine learning techniques to security research or vulnerability detection
Knowledge of automotive cybersecurity, embedded systems, or QNX-based platforms
Familiarity with ISO/SAE 21434 or secure software development practices
Reverse engineering experience using tools such as IDA Pro, Ghidra, Binary Ninja, or similar frameworks
Experience working with operating systems, kernels, drivers, or low-level system software

Responsibilities

Hunt for vulnerabilities across QNX products and embedded software components before attackers find them
Perform penetration testing and offensive security assessments against real-world embedded platforms
Design, develop, and execute large-scale fuzzing campaigns to uncover memory corruption defects, logic flaws, and emerging vulnerability classes
Investigate crashes and software defects to determine exploitability and security impact
Conduct root-cause analysis and exploit development to understand and demonstrate real-world attack scenarios
Leverage AI/ML-assisted techniques to accelerate vulnerability discovery and improve security analysis workflows
Build and evolve automated security testing frameworks, fuzzers, scanners, and exploit validation pipelines
Collaborate closely with engineering teams to reproduce, triage, and remediate vulnerabilities
Contribute tools, methodologies, and research that strengthen our overall security posture
Stay at the forefront of emerging threats and vulnerability research affecting modern embedded operating systems