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.

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.

Software Engineer