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Entry Level Ai Robotics Engineer Jobs in Florida

OPS Engineer

Gainesville, FL ยท On-site

$35.92 - $40.71/hr

... in Robotics Research The FLARE Networked & Collaborative Systems Area Engineer will contribute to AI/ML implementation and autonomous vehicle software and hardware development. The engineer will ...

Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Showing results 41-60

Entry Level Ai Robotics Engineer information

What does an entry level AI robotics engineer do?

An Entry Level AI Robotics Engineer assists in designing, developing, and testing robotic systems that incorporate artificial intelligence. They typically work on tasks such as programming robots, integrating sensors, developing algorithms for machine learning, and troubleshooting hardware and software issues. Under the supervision of senior engineers, they help implement and optimize AI models to improve robotic performance and autonomy. This role often involves collaboration with multidisciplinary teams and learning new technologies to stay current in the rapidly evolving field of robotics.

What are the key skills and qualifications needed to thrive as an entry level AI robotics engineer?

To thrive as an Entry Level AI Robotics Engineer, you need a strong background in computer science, robotics, and mathematics, typically supported by a relevant bachelor's degree. Familiarity with programming languages like Python or C++, robotics simulation tools (e.g., ROS, Gazebo), and basic knowledge of machine learning frameworks is highly valued. Problem-solving skills, creativity, and effective teamwork help you excel in collaborative engineering environments. These competencies are vital for developing innovative robotic solutions and ensuring smooth integration of AI technologies into real-world applications.

What are some common challenges an entry level AI robotics engineer might face in their first year, and how can they overcome them?

Entry Level AI Robotics Engineers often encounter challenges such as bridging the gap between theoretical knowledge and practical implementation, adapting to rapidly evolving technologies, and collaborating effectively with multidisciplinary teams. Navigating unfamiliar hardware platforms or debugging complex sensor integrations can also be daunting at first. To overcome these challenges, new engineers should actively seek mentorship, participate in code reviews, and engage in hands-on projects, which help build confidence and foster a deeper understanding of both AI and robotics systems.

What is the difference between Entry Level Ai Robotics Engineer vs Entry Level Mechanical Robotics Engineer?

AspectEntry Level Ai Robotics EngineerEntry Level Mechanical Robotics Engineer
Required CredentialsBachelor's in Computer Science, Robotics, or related; knowledge of AI, programming, and roboticsBachelor's in Mechanical Engineering, Robotics, or related; knowledge of mechanical systems and design
Work EnvironmentSoftware development, AI algorithm implementation, robotics programmingMechanical design, prototyping, assembly, and testing of robotic systems
Employer & Industry UsageTech companies, AI startups, robotics firmsManufacturing, automation, industrial robotics

Both roles involve working with robotics but focus on different aspects: AI Robotics Engineers emphasize software, algorithms, and AI integration, while Mechanical Robotics Engineers concentrate on mechanical design and hardware. The choice depends on your interest in software versus hardware within robotics.

What are the most commonly searched types of Ai Robotics Engineer jobs in Florida?

The most popular types of Ai Robotics Engineer jobs in Florida are:

Infographic showing various Entry Level Ai Robotics Engineer job openings in Florida as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Reinforcement Learning Engineering Intern

Persona AI

Pensacola, FL โ€ข On-site

$14.25 - $19/hr

Full-time, Internship

Re-posted 2 days ago


Job description

Reinforcement Learning Engineering Intern
Location: Downtown Pensacola, FL
Type: Full-time Internship, 40 hours/week
About the Internship
The Reinforcement Learning Engineering Internship is an opportunity for Bachelors and Masters candidate students to join and contribute to the Persona team as we develop our industrial humanoids. Our objective is to provide each intern with a positive learning environment, hands-on experience with humanoids, and ownership over their own project direction. We are looking for students with an excitement for learning, technical excellence, and creative problem-solving skills.
Each intern will have a designated mentor to provide guidance and assistance in developing and making progress towards a target goal. We have a strong bias for projects that lead to software, controls, or policies deployed on our hardware and extending the capabilities of our systems. Projects will be jointly planned by the intern and their mentor to build on the intern's background, extend their experience to new areas of interest, and fit into the broader goals of the Persona reinforcement learning team.
Role Description
For this role, the specific tasks will be defined prior to the start date by the mentor and the intern based on their experience, proficiency, and personal interests. The scope may also be adjusted to fit the project within the intern's time-frame. We encourage interns to share their interests even if they may be entirely different from their technical background. Some example general tasks that may be a part of any project are described below:
  • Develop new simulation training environments
  • Design new behaviors or extend capabilities for the Persona robots
  • Deploy to hardware, log data, and analyze results
  • Create or implement new algorithms for modeling, training, sensing, or deployment
  • Characterize hardware sensors, actuators, and general robot parameters
Qualifications
  • Current Undergraduate or Masters student
  • Software proficiency in Python, C/C++, Java, or Rust
  • Experience with basic machine learning concepts
Bonus Experience
  • Worked with Pytorch or similar
  • Physics simulator experience such as IsaacLab/IsaacSim, Mujoco, or similar
  • Deployed controls software to robot hardware
  • Trained policies with reinforcement learning
  • Worked with motion diffusion models or VLAs
  • Experience with character animation
  • Worked on vision or localization
Open Technical Areas
  • Perception
  • Locomotion
  • Manipulation
  • Motion Planning
  • Imitation Learning
  • Motion Retargeting
  • Sim-to-Real Modeling
Application Timeline
We are accepting applications on a rolling basis. We will interview and make offers for upcoming intern cohorts until we fill all openings. We will close the application process for an upcoming cohort approximately 3 months before the start of the cohort and recommend applying approximately 6 months in advance.
Note: we are no longer accepting applications for Fall 2026.
The interview process we are currently following involves two interviews. First, a phone pre-screen with a member of our staff. Second, a presentation and discussion interview with one to two of our engineers. The presentation is meant to be informal and give an opportunity for you to share your background, experiences, and interests. We like the chance to see pictures and videos of your projects and hear what part of robotics excites you most! We will also give an overview of the work we are doing here at Persona AI and leave time for you to ask us questions.
We aim to get back to you as soon as we can but it may take a few weeks, especially in between cohorts. Please know we are working on it and will get back to every application!