Job Description
Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market. At Collins Aerospace Applied Research & Technology (A.R.T.) we are accelerating the adoption of transformative technologies in Collins Aerospace businesses: we are redefining aerospace today! Primary responsibilities of A.R.T. Autonomous Systems team are increasing the level of automation in aerospace and defense systems, and redefining autonomous systems technologies to augment human abilities, to collaborate with humans, or replace humans in intensive workload applications. Collaborative autonomy is a fundamental step to redefine aerospace. We are building a diverse and global team and we are seeking a passionate candidate for a position as Principal Research Engineer, Automated Reasoning in Multi-Agent Systems to join our Autonomous Systems team. Primary Responsibilities Lead technical tasks/projects in collaborative autonomy and robotic multi-agent systems Derive requirements and define conceptual architectures for collaborative autonomy applications Design and develop research prototypes to fast demonstrate technology concepts for collaborative autonomy Work closely with Collins Aerospace technology leads and identify emerging trends and technology needs to increase the adoption of automated reasoning in autonomous systems Contribute to research proposals for internal, customers and government funded projects Be an advocate for diversity and inclusion in Raytheon Technologies and aerospace and defense industry Position Requirements A PhD degree in Aerospace Engineering, Systems Engineering, Computer Science, or Robotics Engineering with 3+ years of industrial experience or a Master’s degree in these areas with 7+ years of industrial or academic experience A proven applied or academic research track record in automated reasoning in topics such as graph theory, combinatorial optimization, constraint programming, game theory, graph reasoning, graph knowledge extraction, formal methods, artificial intelligence, and machine learning Ability to model multi-agent systems and implement algorithms for collaborative agents Knowledge of GNC or ATM/UTM is preferred Passion in building prototypes integrating software/hardware components Motivated self-starter with a strong enthusiasm to learn and passion for speed and agility Ability to adapt to new challenges and go beyond the original field of expertise Collins Aerospace Diversity & Inclusion Statement Diversity drives innovation; inclusion drives success. We believe a multitude of approaches and ideas enable us to deliver the best results for our workforce, workplace, and customers. We are committed to fostering a culture where all employees can share their passions and ideas so we can tackle the toughest challenges in our industry and pave new paths to limitless possibility. WE ARE REDEFINING AEROSPACE. Apply now and be part of the team that’s redefining aerospace, every day. #J-18808-Ljbffr