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Ai Robotics Engineer Jobs in Florida (NOW HIRING)

TD SYNNEX

Physical AI Engineer

Clearwater, FL · On-site

This role is for a robotics engineer with a strong reinforcement learning (RL) mindset, someone who wants to train, evaluate, and deploy intelligent behaviors that emerge through interaction, not ...

Synnex

Physical AI Engineer

Clearwater, FL · On-site +1

This role is for a robotics engineer with a strong reinforcement learning (RL) mindset, someone who wants to train, evaluate, and deploy intelligent behaviors that emerge through interaction, not ...

Nokturnal AI

Be Seen First

Software Engineer - Robotics & Autonomy

Clearwater, FL · On-site

$150K - $217K/yr

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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 ...

Valley Bank

AI Engineer

Saint Petersburg, FL · On-site

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 ...

Persona AI

Robotics Simulation Engineer

Pensacola, FL · On-site

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 ...

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Ai Robotics Engineer information

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$21.7K

$78.9K

$126.3K

How much do ai robotics engineer jobs pay per year?

As of Aug 15, 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.

Can a AI Robotics Engineer work in AI?

An AI Robotics Engineer can work in AI, as their role involves developing intelligent systems that combine robotics and artificial intelligence. They often utilize machine learning, programming skills, and robotics platforms to create autonomous or semi-autonomous machines. Their expertise allows them to contribute to AI research, development, and deployment in various industries.

How much do AI robotics engineers make?

AI robotics engineers typically earn a median annual salary ranging from $80,000 to $130,000, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning, control systems, or programming languages like Python and C++ can command higher salaries. Industry demand for robotics and AI expertise continues to grow, influencing compensation levels.

What are the key skills and qualifications needed to thrive as an AI Robotics Engineer?

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:

What are popular job titles related to Ai Robotics Engineer jobs in Florida?

For Ai Robotics Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Ai Robotics Engineer jobs in Florida look for?

The top searched job categories for Ai Robotics Engineer jobs in Florida are:

Ai Robotics Engineer jobs near you
Infographic showing various Ai Robotics Engineer job openings in Florida as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $78,918 per year, or $37.9 per hour.

Physical AI Engineer

TD SYNNEX

Clearwater, FL • On-site

Full-time

Re-posted 19 days ago

TD SYNNEX rating

7.2

Company rating: 7.2 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

137th of 224 rated it services

Job description

Physical AI Engineer
Build the Future of Robotics with Physical AI
We are building real-world Physical AI systems where models interact with physical machines. This role is for a 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, by building the virtual environments, generating the data that trains our models, and developing the policies that eventually run on real hardware.
Day to day, you will design simulation environments, produce large volumes of labeled synthetic data, train and evaluate learned policies, and work with engineers across robotics, controls, and perception to close the sim-to-real gap. You will work hands-on with NVIDIA Omniverse, Isaac Sim, physics-based simulation, and foundation models. This is a builder role: fast iteration, scalable training, and direct transfer from simulation to physical robots.
What You'll Do
  • Build and maintain high-fidelity, physics-accurate simulation environments in NVIDIA Omniverse and Isaac Sim for training, testing, and validating robotic systems.
  • Generate synthetic datasets at scale, including sensor and camera simulation, domain randomization, procedural scene variation, and automated annotation such as segmentation, depth, bounding boxes, and pose. You own dataset quality, versioning, and delivery.
  • Design and run reinforcement learning and imitation learning pipelines using simulation-generated and synthetic data.
  • Train and tune policies for control, planning, navigation, and manipulation, with emphasis on robustness and sim-to-real performance.
  • Define task curricula, reward functions, and evaluation benchmarks so policy performance is measured before it reaches hardware.
  • Model sensors, actuators, and contact behavior, and debug simulation instability, non-physical behavior, and determinism issues.
  • Drive simulation-to-real transfer through domain randomization, system identification, and validation on physical systems.
  • Build reusable tooling, APIs, and documentation so the broader team can stand up new environments and tasks without deep simulation expertise.
  • Integrate foundation models to support reasoning, task decomposition, and human-in-the-loop learning.
Requirements
  • 5+ years in robotics, reinforcement learning, simulation, or applied machine learning. Degree in Robotics, Computer Science, or a related field, or equivalent hands-on experience.
  • Hands-on experience training robotic agents in simulation, on physical systems, or both.
  • Strong background in reinforcement learning, imitation learning, or learning-based control, including domain randomization and curriculum learning.
  • Proven experience building simulation environments in NVIDIA Omniverse, Isaac Sim, or Isaac Lab, or comparable GPU-accelerated simulation platforms.
  • Direct experience generating synthetic data for model training, including sensor simulation, annotation pipelines, and large-scale dataset generation.
  • Working knowledge of OpenUSD as a robotics engineer, including asset conversion into a simulation pipeline from formats such as URDF or MJCF.
  • Production experience with at least one RL library: RSL-RL, RL-Games, skrl, or Stable-Baselines3.
  • Strong Python and the deep learning stack, such as PyTorch or JAX, with the ability to build and scale training pipelines beyond a single workstation.
  • Experience applying or integrating foundation models into robotics or decision-making workflows.
  • Builder mindset with a track record of moving learning systems from experiment to deployment.
Nice to Have
  • PhysX schemas and physics tuning.
  • MuJoCo Playground, NVIDIA Warp, or Newton.
  • Omniverse Replicator or comparable synthetic data generation frameworks.
  • World foundation models used for data augmentation and photoreal domain transfer.
  • Vision language action models or multimodal policies.
  • ROS 2 or comparable robotics middleware, real-time systems, or physics engines.
  • Model-free or model-based RL at scale, including distributed or cloud-scale training orchestration.
  • Training perception models such as detection, segmentation, or pose estimation on synthetic data.
  • C++ alongside Python for real-time robotics systems.
  • Experience operationalizing learned policies on physical robots in production environments.
Work Environment
  • Remote or hybrid, US-based, with periodic time onsite at our robotics facility.
  • Occasional domestic and global travel.
  • Flexible working hours aligned to experimentation and training cycles.

--- This description is optimized to attract senior, hands-on 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.
TD SYNNEX is an E-Verify company

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