Staff Engineer, Shield AI

• Bachelor’s Degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field (Master’s preferred)
• 7+ years of experience developing and integrating autonomy algorithms in robotics, aerospace, or defense systems
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment

Desirable

• We are seeking a skilled and motivated Autonomy Integration Engineer with 7+ years of experience to support the development, integration, and testing of autonomy algorithms for advanced aerospace, defense, and robotics systems
• In this role, you will contribute to implementing and integrating innovative autonomy solutions while collaborating with a multidisciplinary team of engineers to meet challenging operational requirements
• This position offers an exciting opportunity to apply your technical expertise in autonomy and system integration while growing your skills in a fast-paced and collaborative environment
• You will work on cutting-edge projects that advance the capabilities of autonomous systems and ensure their seamless integration into real-world platforms
• Autonomy Development: Assist in developing autonomy algorithms for path planning, decision-making, perception, and control to meet system performance and mission requirements
• System Integration: Support the integration of autonomy algorithms with platform hardware and software, including sensors, control systems, and communication interfaces
• Validation and Testing: Conduct simulation-based testing (HIL/SIL) and participate in live system tests to validate autonomy functionality and identify areas for improvement
• Collaboration: Work closely with software developers, systems engineers, and testing teams to ensure alignment of autonomy capabilities with overall system architecture and mission goals
• Optimization and Troubleshooting: Debug and optimize autonomy systems to enhance performance, reliability, and adaptability
• Documentation and Reporting: Contribute to technical documentation, test reports, and presentations for stakeholders and team members
• Innovation and Learning: Stay current on emerging trends and technologies in robotics, autonomy, and AI to incorporate best practices into development efforts
• Leadership and Collaboration: Lead multidisciplinary teams, fostering collaboration between software, systems, and testing engineers to meet program goals and mission requirements