ZipRecruiter

Log In

1

Robotics Manipulation Jobs in Florida (NOW HIRING)

Persona AI

Robotics Simulation Engineer

Pensacola, FL · On-site

Integrate all autonomy subsystems (locomotion, manipulation, perception, hands, navigation, welding ... Prototype and mock-test robot behaviors (welding, navigation, manipulation) in simulation before ...

Persona AI

Software Engineering Intern

Pensacola, FL · On-site

You'll work on cutting-edge robotics software including perception, locomotion, manipulation, and machine learning systems. Now reviewing applications for Fall 2026 and Spring 2027. Based on team ...

Exalta Group

Machinist I

Naples, FL · On-site

$20.50 - $28/hr

Receives material, loads pallets and robot, as necessary. * Checks parts for conformances according ... Simple Grasping Fine Manipulation Pushing & Pulling Finger Dexterity Foot Movement This job will ...

Evergen

Operations Packaging Engineer

Alachua, FL · On-site

$65K - $80K/yr

Familiarity with packaging robotics and automation. * Experience with packaging-related software ... Frequent (>75%) fine manipulation using hands and fingers (typing, opening, writing, clicking ...

Citrus County, FL

Survey Technician II

Lecanto, FL · On-site

$21.51/hr

... not limited to, robotic total stations and prism set-ups. Have basic knowledge of GPS and ... manipulation, and driving automotive equipment. * The job requires normal visual acuity and field ...

All JobsRobotics Manipulation JobsRobotics Manipulation Jobs in Florida

Robotics Manipulation information

What is robotics manipulation?

Robotics manipulation refers to the ability of robots to interact with and physically manipulate objects in their environment. This field involves designing robotic systems that can grasp, move, and control a variety of items using sensors, actuators, and advanced algorithms. Robotics manipulation is used in industries such as manufacturing, healthcare, and logistics, where robots handle tasks that require precision and adaptability. Researchers in this area focus on improving robot dexterity, perception, and autonomy to enable more complex and delicate operations.

What is the difference between Robotics Manipulation vs Robotics Software Engineer?

AspectRobotics ManipulationRobotics Software Engineer
Required CredentialsEngineering degree, robotics certificationsComputer science or software engineering degree
Work EnvironmentHands-on with robotic hardware, labs, manufacturingSoftware development, simulation, coding
Industry UsageManufacturing, automation, researchSoftware development for robotic systems
Common Search IntentRobotics manipulation skills, hardware focusRobotics programming, software tools

Robotics Manipulation involves working directly with robotic hardware to develop and improve physical interaction capabilities, often in manufacturing or research settings. Robotics Software Engineers focus on developing the software that controls robotic systems, including algorithms and simulations. While both roles require technical skills, Robotics Manipulation emphasizes hands-on hardware work, whereas Robotics Software Engineering centers on coding and software development for robotics applications.

What are the key skills and qualifications needed to thrive as a Robotics Manipulation Engineer, and why are they important?

To thrive as a Robotics Manipulation Engineer, you need expertise in robotics, mechanical engineering, and computer science, often supported by a relevant degree and experience in automation or robotics. Proficiency with programming languages like Python or C++, robotic operating systems (ROS), and simulation tools is typically required. Strong problem-solving, teamwork, and communication skills help you design, test, and refine complex robotic systems effectively. These skills are crucial for developing reliable, intelligent robots that can safely and efficiently interact with their environment.

What are some typical challenges faced by professionals working in robotics manipulation, and how can they be addressed?

Professionals in robotics manipulation often encounter challenges such as integrating complex hardware and software systems, handling uncertainty in object recognition and grasping, and ensuring robust performance in unstructured environments. Collaboration with multidisciplinary teams—including mechanical engineers, software developers, and AI specialists—is key to overcoming these challenges. Staying up to date with the latest research, leveraging simulation tools, and iterative prototyping can also help address common obstacles and drive innovation in this rapidly evolving field.
What are popular job titles related to Robotics Manipulation jobs in Florida? For Robotics Manipulation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Robotics Manipulation jobs in Florida look for? The top searched job categories for Robotics Manipulation jobs in Florida are:
What cities in Florida are hiring for Robotics Manipulation jobs? Cities in Florida with the most Robotics Manipulation job openings:
Robotics Manipulation jobs near you

Deep Learning Robot Manipulation Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Posted 27 days ago

Job description

We're looking for a Deep Learning Manipulation Engineer to help train Persona AI robots to do real work in real world environments. We're looking for exceptional people who dream big, thrive on challenges, and love seeing their efforts come to life. We are primarily interested in candidates who have developed and released products to the market, but can be flexible depending on aptitude and energy.
As one of the inaugural Deep Learning Manipulation Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona's deep learning and manipulation strategy and infrastructure. If you're passionate about cutting-edge technology and want to be part of a world-class team we'd love to hear from you.
Your Role:
  • Design and implement advanced deep learning models and training procedures to achieve dexterous manipulation for humanoid robots with high DOF and multi-fingered hands.
  • Train models, using curriculum learning strategies, to progress from simple object interactions to precise grasping, long-horizon tasks, tool-use, and in-hand object manipulation.
  • Incorporate tactile sensing and proprioception into end-to-end learning pipelines, enabling robust closed-loop policies.
  • Work with the teleoperation and data team to design data collection and versioning strategies.
  • Leverage existing state-of-the-art manipulation models and contribute to the development of new architectures for emerging complex tasks.
  • Deploy trained manipulation models to robotic hardware, ensuring real-time performance, safety, and integration with control systems and sensors.
  • Collaboratively develop and optimize the manipulation ML pipeline.
  • Keep up to date with the state of the art in research and development.
  • Develop and execute evaluation pipelines to rigorously test learned manipulation models, including real-world trials and simulation, measuring performance, robustness, and generalization across tasks and environments.
  • Collaborate in attracting, nurturing and growing the machine learning and autonomy teams.

We're Looking For:
  • Courage and grit to tackle some of the hardest problems in robot manipulation.
  • Enthusiasm for working collaboratively in fast paced ambiguous environments.
  • Masters or PhD in Robotics, Computer Science, or a related field.
  • 3+ years of experience in applying deep learning to robotic manipulation.
  • Strong understanding and proficiency with state of the art algorithms and best-practices in behavior cloning, vision-language-action models, diffusion policies, foundation models, etc.
  • Experience with cloud computing and large-scale datasets.
  • Understanding of the challenges of deploying neural network models in the real world.
  • Capable of writing high quality software.
  • Strong first principles thinker.

Preferred or Bonus Qualifications:
  • Experience with other aspects of ML applied to robotics, including computer vision algorithms, sensors, point clouds, segmentation and object detection.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).
  • Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments.

Apply