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Senior Robotics Engineer Jobs in Hudson, FL (NOW HIRING)

TD SYNNEX

Physical AI Engineer

Clearwater, FL · On-site

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 ...

Synnex

Physical AI Engineer

Clearwater, FL · On-site +1

Flexible working hours aligned to experimentation and training cycles. --- This description is optimized to attract senior, handson AI robotics engineers with strong reinforcement learning and ...

AEVEX

Sr. Aerospace Engineer

Tampa, FL · On-site

$98K - $135K/yr

Job Overview Sr. Aeromechanical Engineers work to solve the nation's hardest problems through ... This job is a lead aeromechanical engineer that takes napkin sketches of airplanes and robots to ...

AEVEX

Sr. Aerospace Engineer

Tampa, FL · On-site

$98K - $135K/yr

Job Overview Sr. Aeromechanical Engineers work to solve the nation's hardest problems through ... This job is a lead aeromechanical engineer that takes napkin sketches of airplanes and robots to ...

AEVEX

Sr. Aerospace Engineer

Tampa, FL · On-site

$98K - $135K/yr

This job is a lead aeromechanical engineer that takes napkin sketches of airplanes and robots to ... Senior role within the engineering team that helps lead in the design and development of UAS ...

AEVEX

Sr. Aerospace Engineer

Clearwater, FL

$96K - $132K/yr

This job is a lead aeromechanical engineer that takes napkin sketches of airplanes and robots to ... Senior role within the engineering team that helps lead in the design and development of UAS ...

XTEND

Senior Drone Lab Technician

Tampa, FL · On-site

As a Senior Lab Technician , you will be a key enabler of XTEND's engineering and operations teams, responsible for building, configuring, testing, and maintaining robotic systems and supporting ...

Pwc

CTIO - AI Engineer- Senior Manager

Tampa, FL · On-site

$91K - $321K/yr

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration ...

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All JobsRobotics Engineer JobsSenior Robotics Engineer JobsSenior Robotics Engineer Jobs in Hudson, FL

Senior Robotics Engineer information

See Hudson, FL salary details

$46.5K

$98.9K

$143.3K

How much do senior robotics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior robotics engineer in Hudson, FL is $98,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $112,100.00 per year, depending on experience, location, and employer.

What is a senior robotics engineer?

A Senior Robotics Engineer designs, develops, and implements advanced robotic systems for various applications, such as automation, manufacturing, and healthcare. They lead projects, collaborate with cross-functional teams, and optimize hardware and software integration. Their role also includes troubleshooting, prototyping, and improving robotic algorithms for efficiency and precision. Additionally, they mentor junior engineers and ensure compliance with industry standards.

What are the typical projects and daily responsibilities of a senior robotics engineer?

Senior Robotics Engineers usually work on the end-to-end development of robotic systems, from conceptual design and prototyping to testing and deployment. Their daily responsibilities often include leading project teams, developing software and hardware integration, troubleshooting system issues, and optimizing performance. Collaboration with cross-functional teams such as mechanical engineers, software developers, and product managers is frequent. These engineers may also mentor junior staff, participate in code reviews, and stay updated on emerging robotics technologies to implement the latest advancements. This mix of technical and leadership tasks makes the role both challenging and rewarding.

What are the key skills and qualifications needed to thrive as a senior robotics engineer?

A Senior Robotics Engineer typically requires an advanced degree in robotics, mechanical, electrical, or computer engineering, along with extensive experience in designing and developing robotic systems. Proficiency in programming languages such as C++, Python or ROS, and familiarity with CAD tools, embedded systems, and relevant certifications like Certified LabVIEW Developer are highly valued. Strong problem-solving skills, leadership abilities, and effective communication set top candidates apart. These skills ensure innovative solutions, efficient project management, and effective collaboration across multidisciplinary teams in the fast-evolving field of robotics.

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

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

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

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

Senior Robotics Engineer jobs near you
Infographic showing various Senior Robotics Engineer job openings in Hudson, FL as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $98,852 per year, or $47.5 per hour.

Physical AI Engineer

TD SYNNEX

Clearwater, FL • On-site

Full-time

Re-posted 12 days ago

TD SYNNEX rating

7.6

Company rating: 7.6 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

103rd 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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