Collaborative Autonomy Engineer - Cross Domain

Applied Intuition•Ann Arbor, MI

6d•Onsite

About The Position

As a Collaborative Autonomy Engineer on the Cross Domain Autonomy team, you will be pivotal in developing collaborative autonomy behaviors for large teams of heterogenous autonomous vehicles, across different domains (e.g., surface, air), with different sensor suites (e.g., camera, radar) that work together to accomplish complex mission vignettes. Your team will continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of HW platforms. Your responsibility will primarily be designing and developing multi-agent multi-domain behavioral autonomy algorithms, but you will work with the team to make the entire system successful.

Requirements

MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 5 years of relevant experience designing multi-agent autonomy
Understanding of Multi-Agent Algorithms including Ant-Colony Optimization, Swarm Particle Optimization, Stigmergy, and Wolf Pack Algorithm
Experience with Swarm or Multi-agent Systems and Optimization
Deep understanding of behavior logic frameworks (state machines, behavior trees, hierarchical task networks)
Experience with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
Comfortable in both Windows, Linux, and Docker
Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision
Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%)
Must be a U.S. Citizen
Must hold or be eligible to obtain and maintain a U.S. security clearance

Nice To Haves

Passion for solving complex problems with little supervision in a fast-paced environment
Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment
Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams
PhD in computer science or engineering (electrical & computer, systems and industrial, mechanical, etc.)
Expertise in machine learning techniques, including supervised and unsupervised learning
Preferred that candidate is also experienced with deep learning and neural architectures, such as CNNs, RNNs, GANs, and transformers
Proficiency in C++, Python (including TensorFlow and Py torch), and Bash
Experience with robotics SDKs, such as ROS2
Experience with Docker
Experience with Agile development methodologies and familiarity with CI/CD best practices.
Experience working with edge computing and real-time systems
Integration and test experience on common COTS hardware devices (e.g., Nvidia Jetson, Xilinx RF/MPSOC)
Interdisciplinary background, with evidence of continual learning
Current U.S. SECRET security clearance

Responsibilities

Adapt and develop cutting edge, modular, and agile autonomy capabilities in the fields of optimization, persistent search, and coordinated behaviors, applicable to a diverse set of Defense problems
Integrate tactical autonomy solutions onto hardware platforms, interface sensors, and test and validate autonomous behaviors, including on-site demonstrations for software field testing and evaluation exercises with the US Navy
Design, test, and ultimately implement software within a component-based architecture, including occasionally integrating externally developed software capabilities into the system
Deploy containerized autonomy solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
Troubleshoot and debug complex issues related to behavioral autonomy and system performance, ensuring robust and reliable operation
Contribute novel engineering ideas, algorithms and concepts for new and existing research and development projects
Collaborate with cross-functional teams, domain experts, prior DoD warfighters, and program managers to build software solutions for military missions
Effectively communicate solutions to a diverse team of engineers, program managers, executives, and sponsors