Graduate Engineering Fellow
Graduate Engineering Fellow (ME, EE, CS / AI / ML)
Paid Onsite Fellowship | Xai Robotics | Coral Springs, Florida
A Reality of Engineering Today
The engineering labor market has changed. Strong grades and coursework are no longer enough on their own, and many entry level tasks are increasingly automated or abstracted. What differentiates engineers now is the ability to build real systems, reason across disciplines, and lead others in doing the same.
This fellowship exists for that reason.
Xai Robotics is offering a select Graduate Engineering Fellowship for individuals who want to prove their capability through construction, ownership, and instruction. Fellows do not observe from the sidelines. They lead R&D initiatives, take responsibility for working robotic systems, and mentor younger students through hands on engineering labs.
If you are looking for another generic resume line, this role is not for you. If you want to demonstrate that you can design, build, debug, and teach complex systems, this fellowship was built for you.
Fellowship Overview
We are recruiting graduate level Engineering Fellows in the following disciplines:
- Mechanical Engineering
- Electrical Engineering
- Computer Science / Artificial Intelligence / Machine Learning
Fellows work onsite as part of a small, high trust engineering team. Each Fellow contributes directly to active robotics R&D and leads hands on instructional labs for younger students, analogous to a graduate lab instructor or teaching assistant role.
This fellowship is designed for candidates who want deep technical practice, leadership experience, and accountability for outcomes.
Technical Responsibilities
Responsibilities vary by discipline and may include:
Mechanical Engineering
- Design and iteration of robotic structures and mechanisms
- CAD modeling and tolerance aware assemblies
- Assisting with fabrication, fitment, and mechanical testing
Electrical Engineering
- Breadboard and PCB level circuit development
- Sensor and actuator integration
- Power management, signal integrity, and systematic troubleshooting
Computer Science / AI / ML
- Embedded and systems level programming
- Control logic, sensor processing, and state based behaviors
- AI or ML assisted perception, decision making, or tooling where appropriate
All Fellows are expected to document their work, test what they build, and explain engineering decisions clearly.
Instructional Leadership Responsibilities
In addition to technical work, Engineering Fellows are responsible for:
- Leading hands on engineering labs for younger students
- Explaining concepts through live builds, demonstrations, and guided problem solving
- Maintaining lab discipline, safety, and technical accuracy
- Adapting explanations to different age and skill levels
This instructional role is a core part of the fellowship and is treated as professional teaching experience.
Compensation
- Starting pay: $17.00 per hour
- Opportunity for raises based on demonstrated output, ownership, and leadership
Compensation increases are tied to measurable contributions such as:
- Shipping a working subsystem or feature
- Independently owning a module, test rig, or instructional lab
- Demonstrating consistent engineering discipline and instructional effectiveness
We reward results and responsibility, not titles.
Requirements
- Currently pursuing or recently completed a graduate degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a closely related field
- Strong fundamentals in your discipline
- Comfort working hands on with real hardware and real systems
- Ability to lead, explain, and mentor in a lab environment
- Ability to reason, debug, and learn quickly
This fellowship is onsite only. Remote or hybrid arrangements are not available.
Why This Fellowship
- Apply your graduate training to real robotic systems
- Gain leadership experience equivalent to lab instruction or TA roles
- Build portfolio grade work across hardware and software
- Be evaluated on what you build and lead, not what you claim
If you believe engineering should be proven in metal, wires, code, and teaching outcomes, this environment will fit you well.
How to Apply
The only way to apply is by email. Applications submitted through job boards or third-party platforms will not be reviewed.
Please email Elena Reyes at elena@xairobotics.com with the following:
Email Subject Line:
Graduate Engineering Fellow Application
In the body of the email, include:
Your major
The degree you are pursuing
Your expected graduation date
Your university or college
Attach:
Your resume (PDF preferred)
Selected candidates will be invited to an onsite conversation.