Explore cutting-edge Autonomy Engineer III jobs and advance your career at the forefront of intelligent systems development. An Autonomy Engineer III is a senior-level professional responsible for designing, prototyping, and validating the core intelligence of autonomous systems, such as self-driving vehicles, aerial drones, robotic platforms, and advanced industrial automation. This role sits at the critical intersection of advanced software engineering, robotics, and systems integration, requiring both deep technical expertise and a strategic approach to turning theoretical concepts into reliable, real-world functionality. Professionals in these jobs typically lead the end-to-end development of autonomy capabilities. Common responsibilities include taking high-level autonomy concepts through iterative research and development (R&D) cycles. This involves algorithm design and implementation for critical functions like perception, path planning, decision-making, and control. Engineers in this role mathematically model vehicle kinematics and dynamics, develop sophisticated conflict detection and resolution logic, and create optimization frameworks for efficient operation. A significant part of the work is conducted in simulation environments, utilizing Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing to rigorously validate algorithms before live deployment. Furthermore, Autonomy Engineer III roles demand extensive collaboration; they work closely with software teams to integrate autonomy modules into larger systems, define clear system and performance requirements, and prepare comprehensive technical documentation like Interface Control Documents (ICDs) and technology maturation reports. The typical skill set for these senior positions is both broad and deep. A strong educational foundation in Computer Science, Robotics, Aerospace Engineering, or a related field is standard, often accompanied by a minimum of 5-7 years of relevant experience. Technical proficiency is required in programming languages and tools such as Python, C/C++, MATLAB, and Simulink. A solid understanding of networking principles and communication protocols is essential for system integration. Beyond technical skills, successful candidates possess a strong analytical mindset, excellent problem-solving abilities for debugging complex systems, and the capacity to author clear technical documentation. Familiarity with adjacent fields like machine learning, probabilistic modeling (e.g., Bayesian networks), and control theory is highly advantageous. These roles are ideal for highly motivated individuals who thrive in R&D settings, enjoy translating research into practical solutions, and are driven to solve some of the most challenging problems in automation. For seasoned engineers seeking to lead innovation, Autonomy Engineer III jobs offer a unique opportunity to shape the future of autonomous technology, ensuring these systems are safe, robust, and capable of operating in dynamic, real-world environments. Discover your next challenge in this pivotal and rapidly evolving field.
