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Applied Intuition · 5 hours ago

Collaborative Autonomy Engineer - Cross Domain

San Diego, California, United States

Full-time

Hybrid

Mid, Senior Level

$125K/yr - $185K/yr

5+ years exp

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. The Collaborative Autonomy Engineer will develop and test collaborative autonomy behaviors for large teams of heterogeneous autonomous vehicles, ensuring robust and reliable operations across various domains.

Artificial Intelligence (AI)Autonomous VehiclesEnterprise SoftwareInfrastructureSoftware

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

Robotic EngineeringMulti-Agent AlgorithmsSwarm SystemsC++ DevelopmentBehavior Logic FrameworksPythonBashDockerQuality Assurance TestingAgile DevelopmentAnalytical SkillsCommunication Skills

Required

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

Quality assurance testing of robotic software (metric development, test and evaluation, validation and verification of software)

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

Preferred

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