MAIN RESPONSIBILITIES:

• Design, implement, and optimise software for highperformance
signal processing applications
• Develop, test, and maintain robust, low-latency network
communication protocols using high-speed TCP/UDP
• Drive system integration efforts, ensuring seamless interaction
between software modules, firmware, and hardware
components
• Apply advanced memory management techniques to ensure
the stability and efficiency of high-throughput applications
• Utilise version control systems to manage software baselines
and ensure clean, collaborative code development.
• Apply advanced mathematical models to solve complex
engineering and processing challenges
KEY GOALS:
• Successfully bridge the gap between advanced mathematics
and high-performance software execution
• Develop, optimise, and integrate complex signal processing
algorithms effectively into the broader system
• Take ownership of projects from concept to completion,
ensuring robust and efficient deployment within the multidisciplinary
team

INHERENT REQUIREMENTS:

EDUCATION & EXPERIENCE:

• Degree in Engineering, Computer Science, or Applied Mathematics.
A Master's degree is highly preferred
• Minimum of 5 years of relevant industry experience in software
engineering or signal processing
• Full-time, on-site availability at the RRS offices in Stellenbosch

TECHNICAL STACK:

• Extremely proficient in C for performance-critical applications
• Solid programming, scripting, and simulation skills using Python and
MATLAB
• Deep understanding of memory management and system-level
optimisation
• Deep understanding of high-speed TCP/UDP communications and
network programming
• Strong working knowledge of modern source control systems

SPECIALISED KNOWLEDGE & ADVANTAGES:

• Exceptional strength in mathematics, particularly in areas relevant
to digital signal processing
• Practical knowledge and application of system integration
techniques
• Experience with parallel computing using NVIDIA CUDA is considered
a big advantage, as we recognise this as a highly valued and scarce
skill
• Previous experience or knowledge of radar signal processing is also
considered a significant advantage

COMPETENCIES:

• Self-driven with a strong sense of ownership and the ability to take
projects from concept to completion
• Highly adaptable, capable of working efficiently both independently
and collaboratively within a specialised multi-disciplinary team

EDUCATION & EXPERIENCE:

• Degree in Engineering, Computer Science, or Applied Mathematics.
A Master's degree is highly preferred
• Minimum of 5 years of relevant industry experience in software
engineering or signal processing