Principal Software Engineer

8+ years of experience in software engineering, with a focus on mission-critical systems, autonomous platforms, or defense applications.
Expertise in programming languages such as C++, Python, with strong experience in embedded systems and real-time software development.
Proven ability to design and implement software architectures, distributed systems, and high-performance computing solutions.
Experience with sensor fusion, real-time control, or AI/ML-driven autonomy.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. A PhD is a plus.
Strong problem-solving skills and a track record of delivering complex software projects on time and at scale.

Design and implement mission-critical software systems for autonomous defense platforms, focusing on scalability, performance, and reliability.
Drive the development of software solutions from concept to deployment, including system architecture, algorithm design, coding, testing, and integration.
Build high-performance software that integrates with hardware platforms, such as autonomous vehicles, control systems, and sensor networks.
Ensure the security and resilience of software systems by applying best practices in cybersecurity, real-time performance, and fault tolerance.
Collaborate with engineers in guidance, navigation, control (GNC), avionics, and systems integration to optimize software for mission effectiveness.
Research and integrate cutting-edge technologies, such as AI/ML-driven decision-making, real-time sensor fusion, and advanced autonomy frameworks.
Optimize software for real-time and embedded environments, ensuring efficient operation under computational and resource constraints.
Contribute to the development of high-fidelity simulation environments and digital twins for software testing and validation.
Maintain compliance with defense industry standards and cybersecurity best practices, ensuring software meets mission-critical requirements.

Experience developing software for unmanned systems, robotics, or aerospace applications.
Familiarity with defense industry software standards, including DoD cybersecurity and compliance requirements.
Expertise in real-time processing, networking protocols, and distributed computing for autonomous systems.
Hands-on experience with AI/ML models for perception, decision-making, and optimization in autonomous systems.
Strong knowledge of software optimization for edge computing and resource-constrained environments.
Experience with simulation tools and digital twins for software testing and validation.