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Ai Robotics Engineer Jobs in Florida (NOW HIRING)

Job Summary of the AI/ML Engineer We are seeking an experienced AI Engineer to join our Center of ... Experience with RPA platforms (UiPath, Automation Anywhere, or Power Automate) * Solid ...

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Software Engineer - Robotics & Autonomy Clearwater, Fl ONSITE ONLY We are seeking a Software ... In person Company Description Nokturnal AI is an advanced technology company focused on developing ...

$81K - $138K/yr

Senior AI Business/Process Analyst Summary: Build your Career. Make a Difference. Presbyterian is ... Certifications in Business Analysis (e.g., CBAP) and RPA (e.g., UiPath RPA Developer) are ...

Design, develop, and maintain automation solutions using RPA platforms (e.g., UiPath) and AI ... Working knowledge of macro creation, as well as programming and SQL languages. * Experienced usage ...

You will help achieve the vision in which every robot behavior we develop is prototyped, tested, and validated in simulation before it runs on hardware. As a simulation engineer at Persona, you will ...

Robotics Tutor

Orlando, FL · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

Robotics Tutor

Hialeah, FL · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

Robotics Tutor

Doral, FL · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

Robotics Tutor

Miami, FL · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

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Showing results 1-20

Ai Robotics Engineer information

See Florida salary details

$21.7K

$78.9K

$126.3K

How much do ai robotics engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for ai robotics engineer in Florida is $78,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $94,900.00 per year, depending on experience, location, and employer.

What does an AI Robotics Engineer do?

An AI Robotics Engineer designs, develops, and integrates artificial intelligence into robotic systems to enable automation, learning, and decision-making. They work on algorithms, machine learning models, and sensor-based perception to enhance robot functionality. Their role includes programming, testing, and refining robotic applications for industries like manufacturing, healthcare, and autonomous vehicles.

What are the typical day-to-day responsibilities of an AI Robotics Engineer?

As an AI Robotics Engineer, your daily tasks often involve designing, programming, and testing robotic systems, developing and training AI models for perception or control, and integrating hardware with software to achieve autonomous operation. You’ll collaborate closely with mechanical, electrical, and software engineers to iterate on prototypes and resolve technical challenges. Participation in team meetings to discuss project progress and refining algorithms based on real-world testing are also common. The role offers a dynamic blend of hands-on engineering, problem-solving, and cross-functional teamwork throughout the development lifecycle.

What are the key skills and qualifications needed to thrive in the Ai Robotics Engineer position, and why are they important?

To thrive as an AI Robotics Engineer, you need a solid background in computer science, robotics, machine learning, and mechanical/electrical engineering, typically supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python and C++, experience with ROS (Robot Operating System), and knowledge of simulation tools like Gazebo or MATLAB are highly valued, along with certifications in AI or robotics when applicable. Strong problem-solving, teamwork, and effective communication skills set top candidates apart. These abilities are essential for integrating complex systems, troubleshooting issues efficiently, and collaborating within multidisciplinary teams.

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 Ai Robotics Engineer job openings in Florida as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $78,918 per year, or $37.9 per hour.
Physical AI Engineer - Simulation & Synthetic Data

Physical AI Engineer - Simulation & Synthetic Data

Synnex

Clearwater, FL • On-site, Remote

Full-time

Posted 2 days ago


Job description

Physical AI Engineer - Simulation & Synthetic Data

Build the Future of Robotics with Physical AI

We're building realworld Physical AI systems-where learning agents interact with physical machines. This role is tailored for an AI Robotics Engineer with a strong reinforcement learning (RL) mindset, someone who wants to train, evaluate, and deploy intelligent behaviors that emerge through interaction, not just perception.

You'll work handson with NVIDIA Omniverse, physicsbased simulation, synthetic data, and foundation models to train agents that learn to act, adapt, and generalize in complex environments. This is a builder role: fast iteration, scalable training, and direct transfer from simulation to physical robots.

What You'll Do

  • Build highfidelity, physicsbased simulation environments in NVIDIA Omniverse / Isaac Sim for training and evaluating robotic agents.
  • Design and run reinforcement learning and imitation learning pipelines using simulationgenerated and synthetic data.
  • Train and tune policies for control, planning, and decisionmaking, emphasizing robustness and simtoreal performance.
  • Integrate foundation models (GPTclass, Claude / Opus, multimodal models) to support reasoning, task decomposition, or humanintheloop learning.
  • Drive simulationtoreal transfer, ensuring learned behaviors perform reliably on physical robotic systems.
  • Collaborate with robotics, controls, and perception engineers to deploy learningbased systems end to end.

Requirements

  • 5-8+ years of experience in robotics, reinforcement learning, simulation, or applied machine learning.
  • Strong handson experience with reinforcement learning, imitation learning, or learningbased control.
  • Proven experience building and training agents in simulation environments (synthetic data, domain randomization, curriculum learning).
  • Experience working in the NVIDIA ecosystem (Omniverse, Isaac Sim, USD pipelines strongly preferred).
  • Experience applying or integrating foundation models (e.g., GPTbased or Claude / Opusstyle models) into robotics or decisionmaking workflows.
  • Strong Python skills; ability to build and scale training pipelines.
  • Builder mindset with a track record of moving learning systems from experiment to deployment.
  • Must have hands-on experience training robotic agents or systems (in simulation and/or real-world environments).

Nice to Have

  • Modelfree or modelbased RL at scale
  • Simtoreal transfer techniques (domain randomization, system ID, hybrid control)
  • Physics engines, realtime systems, or robotics middleware
  • Experience operationalizing learned policies on physical robots

Work Environment

  • Remote / hybrid (USbased)
  • Occasional domestic and global travel
  • Flexible working hours aligned to experimentation and training cycles

Why Join

You'll work on learningdriven robotics systems where intelligence is earned through interaction with the world-not just inferred from data. If you're excited by agents that learn, fail, adapt, and ultimately succeed in the real world, this role is built for you.

--- This description is optimized to attract senior, handson AI robotics engineers with strong reinforcement learning and simulation expertise.

At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.

What's In It For You?

  • Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
  • Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
  • Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
  • Diversity, Equity & Inclusion: It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
  • Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
  • Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don't meet every single requirement? Apply anyway.

At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. You may be exactly the person we're looking for!

We are an equal opportunity employer and committed to building a team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law.

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