Radar Software Engineer

As a Radar Software Engineer, you will be responsible for designing, implementing, and optimizing radar software solutions according to system performance and functional requirements. Your key responsibilities will include:

• Developing signal and data processing algorithms, including pulse compression, filtering, target detection, and tracking.
• Optimizing software for real-time execution with minimal latency, ensuring efficient use of CPU, GPU, and memory resources.
• Conducting software testing through simulations and field trials, and analyzing results to validate system performance.
• Developing and maintaining software interfaces to ensure accurate communication between radar hardware and related subsystems.
• Documenting software architecture, design choices, and testing outcomes clearly and organized.
• Collaborating with system engineers, hardware developers, and algorithm specialists to align on project goals and ensure successful integration.
• Identifying technical risks in the development lifecycle and proposing solutions to mitigate delays or performance issues.
• Staying updated on advancements in radar systems, signal processing, and software development best practices.

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Minimum of 5 years of professional experience in software development, specifically within radar or signal processing applications.
• Proven track record in working on real-time embedded systems and performance-critical applications.
• Experience in testing and validating radar systems through both simulation and field testing environments.

Key Skills:

• Strong programming skills in C/C++, Python, or similar languages.
• Solid understanding of digital signal processing (DSP) techniques.
• Hands-on experience with real-time system optimization and resource management (CPU, GPU, memory).
• Familiarity with software development tools such as Git, Jenkins, or similar CI/CD pipelines.
• Experience with GPU programming (e.g., CUDA) is a plus.
• Excellent documentation skills for technical design, system behavior, and testing processes.
• Strong problem-solving, collaboration, and communication abilities.