Skip to content

Senior Engineer – Autonomy Integration
Company | Shield AI |
---|
Location | Washington, DC, USA |
---|
Salary | $158400 – $237600 |
---|
Type | Full-Time |
---|
Degrees | Bachelor’s, Master’s |
---|
Experience Level | Senior |
---|
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)