Drive root-cause analysis using logs, traces, dumps, instrumentation, system behavior, and reproducible test cases; document technical conclusions and corrective actions.
Review architecture, design, code, patches, test plans, and release criteria for robustness, maintainability, safety, security, and performance.
Customer Engineering and Issue Resolution
Act as a technical point of contact for QNX platform issues, escalations, integration blockers, and stability risks.
Translate system-level customer symptoms into actionable engineering problem statements, reproduce issues, identify ownership, and coordinate closure across teams.
Lead triage and prioritization of critical blockers, including clear impact assessment, containment, action plans, and status communication.
Partner with customers, silicon/platform teams, QNX teams, and internal software organizations while maintaining technical clarity and accountability.
Support release readiness and production milestones by tracking risks, validation gaps, regressions, and dependency closure.
Technical Leadership and Collaboration
Lead multi-domain investigations and drive alignment when issues span BSP, HLOS, hypervisor, firmware, hardware, power, security, or application layers.
Mentor engineers in debugging methodology, QNX platform architecture, issue analysis, code quality, and customer-oriented execution.
Create and maintain technical documentation, troubleshooting guides, knowledge articles, architecture notes, and reusable analysis practices.
Participate in technical reviews, defect reviews, readiness assessments, and continuous-improvement activities.
Identify recurring failure patterns and drive preventive actions in design, testing, automation, integration, and development processes.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Typically 6+ years of relevant embedded software, operating-system, BSP, platform, or automotive systems experience.
Strong hands-on experience with QNX Neutrino or comparable real-time operating-system concepts and platform integration.
Solid understanding of embedded system architecture: boot flow, BSP components, device drivers, kernel services, interrupts, memory management, scheduling, IPC, synchronization, and resource management.
Experience debugging complex system failures using logs, traces, crash dumps, instrumentation, debuggers, and hardware/software observability mechanisms.
Strong C and C++ programming skills, with ability to read, modify, review, and troubleshoot low-level system software.
Working knowledge of ARM-based SoC systems, firmware interactions, device trees or equivalent hardware description mechanisms, and board-level integration.
Experience with software development life cycle, code review, configuration management, defect tracking, regression testing, and release qualification.
Strong written and verbal communication skills, including the ability to explain technical issues to both engineering and non-engineering stakeholders.
Preferred Qualifications
Experience with automotive platforms, vehicle compute systems, domain controllers, or production embedded products.
Experience with QNX Hypervisor or equivalent virtualization technologies, including VM configuration, inter-domain communication, device assignment, and resource isolation.
Knowledge of platform power management, low-power states, suspend-to-RAM, wake sources, thermal behavior, performance optimization, and power-aware debugging.
Experience with SMMU/IOMMU, DMA, shared memory, ECC/EDAC.
Experience with automated validation, continuous integration, stress testing, fault injection, long-duration stability testing, and system reliability metrics.
Demonstrated experience leading cross-functional technical programs or serving as a domain subject-matter expert.
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
- OR
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
- OR
- PhD in Engineering, Information Systems, Computer Science, or related field.
- 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc.
- 1+ year of any combination of academic and/or work experience with debugging techniques.
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