Robotics Engineering Co-op

The AEVEX Navigation and Autonomy Center (NAC) specializes in the development of advanced algorithms for autonomous systems, with expertise spanning navigation, autonomy, controls, sensor fusion and computer vision. We develop innovative solutions that integrate information from vision-based algorithms, inertial measurement units (IMUs), LiDAR, radar, and other sensors to provide accurate real‑time state estimation, perception, planning, and control for autonomous platforms operating in complex, GPS‑degraded, and GPS‑denied environments.

We are seeking a highly motivated engineering student to join our team. As a co‑op, you will have the opportunity to work on cutting‑edge research and development in robotics, autonomous navigation, and sensor fusion. You will contribute to real‑world projects, applying your skills in algorithm design, machine learning, and embedded systems to enhance autonomy in challenging conditions.

• Develop and implement computer vision‑based localization, SLAM, or deep learning models for real‑time navigation of UAS systems.
• Assist in integrating data from cameras, IMUs, GNSS, and alternative PNT sources for sensor fusion applications.
• Optimize and deploy navigation/autonomy algorithms for embedded systems, robotics platforms, or edge computing hardware.
• Perform simulation and validation of navigation algorithms using Python, C++, or Rust.
• Participate in flight test campaigns to validate software and algorithms on UAS.
• Work closely with senior engineers on research and prototyping efforts.
• Perform other duties as required.

• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company’s policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

• Strong programming skills in C/C++, Python, or Rust.
• Experience with ROS/ROS
  2.
• Demonstrated project or professional experience with one or more of the following:
  • Computer vision and deep learning frameworks (OpenCV, PyTorch, Tensor Flow).
  • Autonomy/planning algorithm development.
  • Control systems design/analysis.
  • Sensor fusion techniques (Kalman filters, particle filters, graph‑based SLAM).
  • Embedded systems and real‑time computing (Jetson, Raspberry Pi, FPGA, or microcontrollers).
• Strong analytical, problem‑solving, and communication skills.
• Experience deploying software to robotic or hardware systems.

• Current enrollment in an undergraduate or graduate program in Computer Science, Electrical Engineering, Aerospace Engineering, or similar.

• No prior experience necessary.

• Frequently required to sit, and to reach to use computers and other office equipment.

• Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required.

AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full‑spectrum aviation, remote sensing, and analysis solutions. The company’s capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions;

and tailored hardware and software mission‑system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses.

AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.