Software Engineer

Requirements

• Core Technical Skills
• Proficiency in C++ and/or Python for software module development.
• Working knowledge of software engineering best practices , including modular design, version control, and coding standards.
• Experience developing software in Linux-based environments .
• AI / Surveillance System Context
• Familiarity with video processing pipelines , including frame handling, data streaming, or sensor data integration.
• Basic understanding of AI-based computer vision systems , such as object detection, tracking, or event analysis (integration-level, not model research).
• Experience integrating software modules with AI inference outputs .
• Software Testing & Quality
• Experience in unit testing , black-box testing , and white-box testing .
• Knowledge of software verification and validation (V&V) processes.
• Ability to document test procedures, test results, and defect reports .
• Development Tools & Frameworks
• Experience using Git or equivalent version control systems.
• Familiarity with build systems and development tools (e.g. CMake, GCC, or equivalent).
• Exposure to containerized or modular deployment environments (e.g. Docker) is an advantage.
• Documentation & Standards
• Ability to produce and maintain software design and test documentation in line with IEEE software engineering standards .
• Familiarity with structured documentation practices to support audits and traceability.
• Collaboration & Work Practices
• Ability to work within a multi-disciplinary engineering team , including system engineers and solution architects. Comfortable working in a project-based, structured development environment with defined requirements and deliverables.

Additional Information

Job Description Develop and implement software modules for AI-based surveillance systems in accordance with IEEE software engineering standards and internal development guidelines. Implement application-level components supporting video ingestion, data processing, and analytics pipelines for surveillance use cases. Support integration of AI/ML inference modules (e.g. object detection or tracking outputs) into application software. Prepare and maintain software design documentation , including architecture descriptions, module specifications, and interface definitions. Develop and execute software test plans , including unit testing, black-box testing, and white-box testing , to verify functional correctness and performance. Support software validation and verification (V&V) activities, including defect analysis, bug fixing, and regression testing. Collaborate with system engineers and solution architects to ensure software modules integrate correctly with system-level designs. Maintain version control, documentation updates, and test records to support audit and traceability requirements. Support ongoing software maintenance and enhancement activities across multiple project phases.

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Company Intel

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