Radar Software Engineer in Belfast

The growing demand for safer, more efficient, and intelligent transportation systems has created a significant need for advanced sensing technologies. At ANGOKA, we are focused on enabling intelligent transport systems (ITS) to navigate complex environments, avoid obstacles, and perform precision maneuvers, especially in situations where GPS signals are weak or visual systems are obstructed. Our ground-breaking co-operative radar solution offers the ability for intelligent transport systems (ITS) to operate in diverse environmental conditions (e.g., darkness, fog, rain). Radar technology is pivotal for the advancement of intelligent transport systems, offering robust, all-weather sensing that enhances safety, efficiency, and autonomy in a wide range of commercial applications.

As a Radar Software Engineer, you will be responsible for the development and integration of cutting-edge co-operative radar systems specifically designed to enhance drone navigation and enable precision-assisted landing. This role will focus on both near-term and medium-term needs for radar technologies, with an emphasis on improving accuracy, safety, and reliability in dynamic environments. You will play an instrumental role in designing, developing, and optimising software solutions for radar systems, based on the TI AWR radar platform, to provide real-time detection, tracking, communication and coordination of non-cooperative and cooperative targets. You will work closely with a multidisciplinary team of engineers to develop high-performance, reliable radar software that meets the stringent requirements of the aerospace industry.

Key Responsibilities:

• Develop, and maintain software for TI AWR radar systems, focusing on signal processing, radar control, and system integration.
• Implement advanced radar systems for real-time obstacle detection, avoidance, and proximity sensing during drone flight and landing.
• Develop radar systems that enable drones to communicate and share data with one another in order to improve overall situational awareness and avoid collisions in dense environments.
• Conduct extensive testing of radar systems in real-world scenarios (e.g., indoor/outdoor environments, urban landscapes) to ensure system robustness in diverse conditions.
• Consideration of the relevant aviation software standards for drone operations, including any regional or international airspace regulations.

Key Skills:

• Expertise in programming languages such as C/C++, Python, and embedded software development.
• Experience with radar digital signal processing (DSP), including FFT, filtering, and noise reduction techniques (CFAR, Kalman filters).
• Proficiency with radar simulation tools, hardware integration, and testing methodologies (Matlab / Octave).
• Understanding of firmware architectures and hardware abstraction layers.
• Knowledge of embedded systems design patterns.
• Strong grasp of design patterns, code reviews, version control (Git), and testing methodologies is vital for ensuring code quality and maintainability.
• Experience of working in an Agile development environment, participating in sprint planning, stand-ups, and retrospectives.
• Knowledge of common communication protocols (I2C, SPI, UART, etc.).
• Understanding TCP/IP, UDP, MQTT and other networking protocols is essential for connected devices.

Desirable:

• Experience in the TI mmWave SDK and related development tools.
• Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus.
• Understanding of cooperative radar networks for multi-agent systems.
• Experience with machine learning techniques for sensor data processing and decision-making.
• Knowledge of the latest advancements in radar technology and software development practices.
• Knowledge in aviation safety standards and radar certification processes.
• Ability to collaborate in multi-disciplinary teams and manage project timelines.
• Prior experience using collaborative tools such as confluence, miro, jira.
• A collaborative mindset.
• Strong problem-solving skills and an eagerness to learn.

This role offers an exciting opportunity to shape the future of drone technology, making a tangible impact on autonomous flight, safety, and efficiency in the growing field of unmanned aerial vehicles.