Automation Team Student Engineer

The RFID Lab's Automation team is looking for a Student Engineer who will help support projects and conduct research through utilizing machine learning to run models, running experiments and RF simulations, designing robotics, creating demonstrations of our tech, and developing software and hardware solutions.

Design, develop, and implement automation solutions using appropriate tools and technologies, such as machine learning, scripting languages, or custom software applications. Conduct research and rigorous testing on cutting-edge technologies and methodologies. Create detailed documentation of automation processes, including design specifications, user guides, and troubleshooting manuals.

• Enrolled student at Auburn University
• Majoring in Computer Science, Engineering, or a related field
• Experience with automation tools and platforms
• Familiarity with process mapping and analysis

• Python, ROS2, ROS1, Ubuntu/Unix, C++, Boston Dynamics API, and a strong background in Machine Learning and Math.
• Excellent organizational and documentation skills
• Programming and scripting skills (e.g., Python, C, C++, Ubuntu/Unix)
• Analytical mindset and problem-solving skills
• Excellent communication and teamwork abilities.

• Gain valuable work experience! Student employment allows you to explore different interests, identify strengths, and make informed decisions about your future career goals.
• Build your network! Interacting with faculty, staff, and fellow students can lead to valuable connections and potential mentors.
• Make a difference!Have the satisfaction of knowing YOU are a part of providing the premier academic experience at Auburn and the life-changing work our students and employees perform.

It is our policy to provide equal employment and education opportunities for all individuals without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, age, disability, protected veteran status, genetic information, or any other classification protected by applicable law. Please visit the Office of Equal Opportunity Compliance's website to learn more. website to learn more.