Robotics Engineering Co-op

Aevexaerospace

Tampa (FL)

On-site

USD 15,000 - 25,000

Full time

14 days+

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Benefits offered by this job

401(k)-retirement plan
Comprehensive Medical, Dental, Vision, Disability and Life insurance
Professional development funds
Employee Assistance Plan (EAP)

Job summary

Aevexaerospace is seeking a highly motivated engineering student for a co-op position in Tampa, Florida. The role involves working on cutting-edge research in robotics, navigation, and sensor fusion within the AEVEX Navigation and Autonomy Center.

Candidates will contribute to projects focusing on algorithm design, performance optimization, and validation using various programming languages. This position offers valuable experience in a highly innovative environment.

Benefits include a comprehensive package, emphasizing AEVEX’s commitment to employee development and welfare.

Qualifications

  • Strong analytical, problem-solving, and communication skills.
  • Experience deploying software to robotic or hardware systems.

Responsibilities

  • Develop and implement computer vision-based localization and deep learning models for real-time navigation.
  • Assist in integrating data for sensor fusion applications.
  • Optimize navigation/autonomy algorithms for embedded systems.
  • Perform simulation and validation using Python, C++, or Rust.
  • Participate in flight test campaigns to validate software.

Skills

Programming skills in C/C++, Python, or Rust
Experience with ROS/ROS2
Computer vision frameworks (OpenCV, PyTorch, TensorFlow)
Autonomy/planning algorithm development
Control systems design/analysis
Sensor fusion techniques
Embedded systems and real-time computing

Education

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

Job description

Work Arrangement

This is an onsite position.

Job Overview

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.

Essential Functions
  • 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.
Standard Essential Functions
  • 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.
Qualifications
  • Strong programming skills in C/C++, Python, or Rust.
  • Experience with ROS/ROS2.
  • Demonstrated project or professional experience with one or more of the following:
    • Computer vision and deep learning frameworks (OpenCV, PyTorch, TensorFlow).
    • 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.
Education / Certifications
  • Current enrollment in an undergraduate or graduate program in Computer Science, Electrical Engineering, Aerospace Engineering, or similar.
Experience
  • No prior experience necessary
Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is:

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

For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

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

AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees.

Equal Employment Opportunity

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.

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