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Senior Engineer – Autonomy Integration

Senior Engineer – Autonomy Integration

CompanyShield AI
LocationWashington, DC, USA
Salary$158400 – $237600
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior

Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field (Master’s preferred).
  • 5+ years of experience developing and integrating autonomy algorithms in robotics, aerospace, or defense systems.
  • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
  • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
  • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
  • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.

Responsibilities

  • Assist in developing autonomy algorithms for path planning, decision-making, perception, and control to meet system performance and mission requirements.
  • Support the integration of autonomy algorithms with platform hardware and software, including sensors, control systems, and communication interfaces.
  • Conduct simulation-based testing (HIL/SIL) and participate in live system tests to validate autonomy functionality and identify areas for improvement.
  • Work closely with software developers, systems engineers, and testing teams to ensure alignment of autonomy capabilities with overall system architecture and mission goals.
  • Debug and optimize autonomy systems to enhance performance, reliability, and adaptability.
  • Contribute to technical documentation, test reports, and presentations for stakeholders and team members.
  • Stay current on emerging trends and technologies in robotics, autonomy, and AI to incorporate best practices into development efforts.

Preferred Qualifications

  • Familiarity with open architecture standards (e.g., OMS/UCI or FACE) and regulatory standards (e.g., DO-178C)