Blue Signal
Overview
Title:
Advanced Autonomy Systems Engineer Location:
Arlington, VA (Hybrid Flexibility Based on Project Needs) Employment Type:
Full-Time About the Role:
A pioneering technology organization is seeking an Advanced Autonomy Systems Engineer to develop intelligent guidance, navigation, and control systems for cutting-edge autonomous platforms. This role offers the opportunity to help shape the future of autonomous mobility in aerospace, defense, and commercial sectors. The selected candidate will join a cross-functional team of experts focused on deploying next-gen unmanned systems that push the boundaries of autonomy and mission execution. Responsibilities
Architect and implement robust algorithms for localization, mapping, trajectory planning, and obstacle avoidance. Design real-time control systems for multi-domain autonomous platforms including aerial and ground-based vehicles. Develop decision-making frameworks such as state machines, behavior trees, or AI-based logic to enable autonomous behavior. Conduct simulations and virtual testing to refine autonomy modules, followed by live system field evaluations. Integrate autonomy modules with perception systems, embedded hardware, and control interfaces for seamless deployment. Optimize system performance for real-time execution on resource-constrained hardware platforms. Collaborate across disciplines including sensor fusion, embedded engineering, and system integration to enhance overall system robustness. Lead iterative improvements to autonomy stacks based on test data and mission feedback. Qualifications
Bachelor’s or Master’s degree in Robotics, Aerospace Engineering, Computer Science, or a related technical field. 3+ years of hands-on experience in developing autonomy software or intelligent control systems. Expertise in programming with C++ and Python in real-time environments. Familiarity with middleware platforms and simulation tools (e.g., ROS/ROS2, Gazebo, CARLA, or AirSim). Deep understanding of navigation principles, control theory, and motion planning. Experience with embedded systems and resource-constrained software deployment. Preferred Attributes
Experience in integrating autonomy with UAVs, UGVs, or other robotic platforms. Understanding of perception systems and sensor fusion (e.g., LiDAR, cameras, GPS/INS, radar). Exposure to government-funded R&D or defense-grade autonomy frameworks. Background in machine learning for adaptive control or autonomous decision-making. Active or obtainable security clearance is a strong plus. What’s In It for You
Work at the forefront of autonomy innovation on projects with national significance. Collaborate with leading minds in robotics, AI, and aerospace engineering. Access to premier test facilities, flight labs, and advanced simulation platforms. Competitive compensation with robust benefits and career development pathways.
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Title:
Advanced Autonomy Systems Engineer Location:
Arlington, VA (Hybrid Flexibility Based on Project Needs) Employment Type:
Full-Time About the Role:
A pioneering technology organization is seeking an Advanced Autonomy Systems Engineer to develop intelligent guidance, navigation, and control systems for cutting-edge autonomous platforms. This role offers the opportunity to help shape the future of autonomous mobility in aerospace, defense, and commercial sectors. The selected candidate will join a cross-functional team of experts focused on deploying next-gen unmanned systems that push the boundaries of autonomy and mission execution. Responsibilities
Architect and implement robust algorithms for localization, mapping, trajectory planning, and obstacle avoidance. Design real-time control systems for multi-domain autonomous platforms including aerial and ground-based vehicles. Develop decision-making frameworks such as state machines, behavior trees, or AI-based logic to enable autonomous behavior. Conduct simulations and virtual testing to refine autonomy modules, followed by live system field evaluations. Integrate autonomy modules with perception systems, embedded hardware, and control interfaces for seamless deployment. Optimize system performance for real-time execution on resource-constrained hardware platforms. Collaborate across disciplines including sensor fusion, embedded engineering, and system integration to enhance overall system robustness. Lead iterative improvements to autonomy stacks based on test data and mission feedback. Qualifications
Bachelor’s or Master’s degree in Robotics, Aerospace Engineering, Computer Science, or a related technical field. 3+ years of hands-on experience in developing autonomy software or intelligent control systems. Expertise in programming with C++ and Python in real-time environments. Familiarity with middleware platforms and simulation tools (e.g., ROS/ROS2, Gazebo, CARLA, or AirSim). Deep understanding of navigation principles, control theory, and motion planning. Experience with embedded systems and resource-constrained software deployment. Preferred Attributes
Experience in integrating autonomy with UAVs, UGVs, or other robotic platforms. Understanding of perception systems and sensor fusion (e.g., LiDAR, cameras, GPS/INS, radar). Exposure to government-funded R&D or defense-grade autonomy frameworks. Background in machine learning for adaptive control or autonomous decision-making. Active or obtainable security clearance is a strong plus. What’s In It for You
Work at the forefront of autonomy innovation on projects with national significance. Collaborate with leading minds in robotics, AI, and aerospace engineering. Access to premier test facilities, flight labs, and advanced simulation platforms. Competitive compensation with robust benefits and career development pathways.
#J-18808-Ljbffr