QNX Senior Security Researcher

Data & AI

Worker Sub-Type:

Regular

Job Description:

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.

Are you the person we are looking for?

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.

What You'll Do:

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

What We're Looking For:

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

Bonus Points If You Have:

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

Why You’ll Love This Role:

This is an opportunity to spend your time exploring, researching, breaking, and improving the security of software that runs some of the most important systems in the world. You'll have the freedom to:
Pursue challenging security research questions
Build new tools and automation frameworks
Experiment with emerging AI-assisted security techniques
Influence the security of products deployed at massive scale
Collaborate with world-class embedded engineers and security researchers
Turn curiosity into real-world impact

#LI-KH1

Scheduled Weekly Hours:

Compensation Hiring Base Salary Range:

$108,750.00 - $158,750.00

Please be advised that the compensation hiring range indicated herein is provided solely as a good-faith estimate of expected base compensation for the position. The actual compensation offered will be determined at the time of hire and is contingent upon multiple factors, including but not limited to the candidate’s qualifications, relevant experience, demonstrated skills, and results of assessments conducted during the hiring process.

Bonus:

The BlackBerry Variable Incentive Pay (VIP) program is an organization-wide bonus incentive program which aims to reward full-time eligible employees for their contribution to BlackBerry’s success. VIP payments are made in addition to base salary and factor in company’s performance as a way for employees to share in BlackBerry’s achievements.

Benefits:

The BlackBerry Employee Benefits programs offer a wide range of benefits that support your physical, financial and personal well-being. BlackBerry remains committed to offering affordable benefits including coverage for medical, dental, vision, life, disability insurance, retirement, employee share purchase program and paid-time-off to those that meet the eligibility requirements.

Disclosure of Position Status:

This is an active opening. We are seeking to fill this position immediately

Disclosure of Artificial Intelligence:

We do not use artificial intelligence (AI) to screen, assess, or select applicants at any stage of our recruitment process. All applications are reviewed and evaluated by our hiring team.