Embedded Software Engineer

A publicly traded, NASDAQ-listed technology corporation that designs and manufactures mission-critical secure communications and cyber-security platforms for drones, robotics, and tactical unmanned systems.

The company engineers high-performance hardware and software solutions fusing advanced RF design, Embedded Linux, and resilient cyber defense architectures for global defense, aerospace, and autonomous systems markets.

Operating an elite, tight-knit R&D facility of several dozen professionals in the Central District, the team works fully on-site to drive collaborative engineering and deep-tech innovation.

Position Overview-

• Embedded C/C++ & Wireless Systems Engineer joining a core R&D squad to architect and develop the next generation of mission-critical wireless communication systems.
• Designing and implementing advanced Wireless MESH network protocols and tactical communication topologies for hardware-constrained autonomous platforms.
• Architecting low-level cyber defense layers for wireless platforms, while spearheading the integration of LLM-driven intelligence and lightweight AI nodes into modern embedded modules.
• Writing production-grade, deterministic software in C and C++ running directly on customized Linux-based embedded targets.
• Core Stack & Ecosystem- C/C++, Embedded Linux, Wireless MESH Networks, RF Communications, Cyber Security Enforcement, Tactical Robotics, Systems Architecture, and Edge AI / LLM Integration.

Requirements

• Academic Background: B.Sc. in Computer Science, Electrical Engineering, Software Engineering, or a related technological discipline – Mandatory
• 3+ years of proven professional experience in low-level Embedded Systems or firmware engineering – Mandatory
• Extensive hands-on development experience operating directly within Linux environments (Kernel, drivers, or system-level space) – Mandatory
• Production-proven programming mastery in both C and C++ – Mandatory
• Prior professional exposure to wireless protocols, RF architectures, or network security models – Significant Advantage
• Practical knowledge or a strong technical drive to implement AI/LLM frameworks at the edge – Significant Advantage