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Robotics Engineer Jobs in Tampa, FL (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 ...

Varsity Tutors

Robotics Tutor

Saint Petersburg, FL · Remote

$18 - $40/hr

Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides students through building mechanical structures, wiring electronic circuits, programming ...

Varsity Tutors

Robotics Tutor

Tampa, FL · Remote

$18 - $40/hr

Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides students through building mechanical structures, wiring electronic circuits, programming ...

Quest Diagnostics

Lead Automation Engineer

Tampa, FL · On-site

Regional Automation Engineer is responsible to lead all automation systems inside our region, drive ... Develop and program industrial robots (e.g FANUC, ABB, KUKA, UR, YASKAWA ) for various automation ...

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Industrial Maintenance Robotics and Electrical TRAVEL

Tampa, FL · On-site

$34 - $40/hr

Proficient in PLC programming and robotics troubleshooting * Skilled in electrical wiring and blueprint reading * Ability to travel approximately 75% * Ability to maintain a Passport for ...

Amazon

Mechatronics & Robotics Tech

Tampa, FL · On-site

Reliability Maintenance & Engineering (RME) are the business partners that work tirelessly behind the scenes to make it all happen. We drive continuous improvement and maintain all of the Robotics ...

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 ...

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All JobsRobotics Engineer JobsRobotics Engineer Jobs in Tampa, FL

Robotics Engineer information

See Tampa, FL salary details

$27.4K

$99.8K

$159.7K

How much do robotics engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for robotics engineer in Tampa, FL is $99,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $120,000.00 per year, depending on experience, location, and employer.

What does a robotics engineer do?

A Robotics Engineer designs, builds, and tests robots and robotic systems that are able to perform tasks typically done by humans. They work on integrating hardware and software to create machines that can automate processes in industries such as manufacturing, healthcare, and logistics. Their responsibilities often include researching new technologies, programming robotic systems, troubleshooting issues, and collaborating with other engineers. Robotics Engineers play a key role in advancing automation and improving efficiency and safety in various sectors.

What does a robotics engineer do?

A robotics engineer designs and often builds robots from their plans and ensures the correct processes are in place for the robot to run properly. They work with their clients to determine costs and design specifications, then they design software systems to control robotic systems; build, configure, and test robots; and automate processes to increase production and precision. Once the robotic system is in place, the robotics engineer helps troubleshoot any problems the clients have with the system.

What are the key skills and qualifications needed to thrive as a robotics engineer, and why are they important?

To thrive as a Robotics Engineer, you need a strong background in mechanical engineering, electrical engineering, and computer science, typically backed by a relevant bachelor's or master's degree. Familiarity with programming languages like Python or C++, CAD software, and robotics platforms such as ROS (Robot Operating System) is essential. Problem-solving skills, creativity, and effective teamwork are standout soft skills in this field. These competencies are crucial for designing, building, and refining innovative robotic systems that meet complex technical and user requirements.

What types of projects do robotics engineers typically collaborate on with cross-functional teams?

Robotics Engineers often work closely with professionals from software development, mechanical engineering, and electrical engineering to design, build, and test robotic systems. Projects can range from automating manufacturing processes to developing autonomous vehicles or medical robots. Collaboration is essential, as engineers must integrate hardware and software components while ensuring systems meet safety and performance standards. Effective communication and teamwork are key to successfully bringing innovative robotics solutions from concept to reality.

What is the difference between Robotics Engineer vs Mechanical Engineer?

AspectRobotics EngineerMechanical Engineer
Required CredentialsBachelor's in Robotics, Mechanical, Electrical Engineering or related field; certifications in robotics or automationBachelor's in Mechanical Engineering; Professional Engineer (PE) license optional
Work EnvironmentDesigning, testing, and programming robotic systems in labs or manufacturing settingsDesigning and analyzing mechanical systems in various industries, including manufacturing, automotive, aerospace
Industry UsageRobotics companies, automation firms, manufacturingManufacturing, automotive, aerospace, product design

Robotics Engineers focus on designing and developing robotic systems, combining knowledge of mechanical, electrical, and software engineering. Mechanical Engineers have a broader scope, working on mechanical systems across multiple industries. While both roles require engineering degrees, Robotics Engineers often need specialized skills in programming and automation. The choice depends on your interest in robotics and automation versus general mechanical system design.

Do robotics engineers make a lot of money?

Robotics engineers typically earn competitive salaries that vary based on experience, education, and location. According to industry data, the median annual wage for robotics engineers is higher than the average for engineering roles, reflecting the specialized skills and knowledge required in designing and developing robotic systems. Advanced skills in programming, control systems, and CAD tools can also influence earning potential.

Is there a high demand for robotics engineers?

Robotics engineers are in high demand across industries such as manufacturing, healthcare, and automation due to the increasing adoption of robotics technology. The field is expected to grow significantly as companies seek to improve efficiency and develop advanced robotic systems, often requiring skills in programming, control systems, and hardware design.
More about Robotics Engineer jobs

What are the most commonly searched types of Robotics Engineer jobs in Tampa, FL?

The most popular types of Robotics Engineer jobs in Tampa, FL are:

What are popular job titles related to Robotics Engineer jobs in Tampa, FL?

For Robotics Engineer jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Robotics Engineer jobs in Tampa, FL look for?

The top searched job categories for Robotics Engineer jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Robotics Engineer jobs?

Cities near Tampa, FL with the most Robotics Engineer job openings:

Robotics Engineer jobs near you
Infographic showing various Robotics Engineer job openings in Tampa, FL as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 77% In-person, 8% Hybrid, and 15% Remote job distribution, with an average salary of $99,798 per year, or $48 per hour.

Physical AI Engineer

TD SYNNEX

Clearwater, FL • On-site

Full-time

Re-posted 4 days ago

TD SYNNEX rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

116th of 226 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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