Explore Autonomy Engineer II jobs and discover a pivotal career at the forefront of intelligent systems development. An Autonomy Engineer II is a mid-level professional specializing in designing, prototyping, and implementing the core decision-making algorithms that allow machines—such as robots, drones, and vehicles—to operate independently and safely in dynamic environments. This role sits at the intersection of software engineering, robotics, and systems integration, translating theoretical concepts into functional, real-world autonomous behaviors. Professionals in these jobs typically engage in the end-to-end development lifecycle of autonomy functions. Common responsibilities include collaborating with cross-functional teams to define system requirements, architecting and developing robust algorithms for perception, planning, and control, and rigorously testing these systems in simulated environments like Software-in-the-Loop (SIL) setups. A key aspect of the role is innovating and problem-solving, often involving research and development to create novel solutions for challenges like real-time decision-making, path planning, optimization, and conflict detection and resolution. These engineers are also responsible for integrating their autonomy modules into larger software frameworks and ensuring seamless operation within the complete system. To succeed in Autonomy Engineer II jobs, a specific skill set is essential. Typically, employers seek candidates with a Bachelor’s or Master’s degree in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, or a related technical field. A solid foundation of several years of direct experience in autonomy, robotics, or algorithm R&D is a standard requirement. Core technical proficiency includes advanced programming in languages such as Python and C/C++, coupled with strong competencies in translating complex mathematical models—covering kinematics, dynamics, and optimization—into efficient, production-ready code. Familiarity with AI/ML techniques, simulation tools, and a systems-thinking approach is highly valued. Beyond technical acumen, ideal candidates are highly analytical, solution-oriented, and possess strong collaboration skills to work effectively with both internal teams and external partners. For those passionate about building the future of automation, Autonomy Engineer II jobs offer a challenging and rewarding path. These positions are critical across numerous industries, including aerospace, automotive, maritime, and logistics, providing opportunities to shape how autonomous systems navigate and interact with the world. If you have a blend of theoretical knowledge and practical engineering skill, pursuing roles in this field means directly contributing to the next generation of intelligent technology. Search for Autonomy Engineer II jobs to find positions where you can advance your career and push the boundaries of what autonomous systems can achieve.
