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Nvidia Robotics Jobs in Florida (NOW HIRING)

Persona AI

Robotics Simulation Engineer

Pensacola, FL · On-site

We're looking for a Simulation Engineer to own and expand our NVIDIA Isaac Sim and Omniverse ... You will help achieve the vision in which every robot behavior we develop is prototyped, tested ...

Nokturnal AI

Be Seen First

Software Developer II -- Unmanned Aerial Systems (UAS)

Clearwater, FL · On-site

$75K - $115K/yr

This role is ideal for a mid-level software engineer with experience in embedded systems, robotics ... Experience with NVIDIA Jetson, Qualcomm QRB/QCS platforms, Raspberry Pi, x86 edge computers, or ...

Lumenier/GetFPV

Systems Engineer

Palmetto, FL

Experience with drone, robotics, or aerospace systems Familiarity with mechanical integration ... g., NVIDIA Jetson, Raspberry Pi) Basic scripting or programming (Python, C/C++) Experience ...

Deloitte

Physical AI Senior Manager

Tampa, FL

$119K - $157K/yr

Hands-on experience with NVIDIA ecosystem elements relevant to Physical AI (e.g., accelerated computing for vision/AI at the edge, simulation workflows, robotics stacks) and Siemens engineering ...

Deloitte

Physical AI Senior Manager

Miami, FL · On-site

$121K - $159K/yr

Hands-on experience with NVIDIA ecosystem elements relevant to Physical AI (e.g., accelerated computing for vision/AI at the edge, simulation workflows, robotics stacks) and Siemens engineering ...

Lumenier/GetFPV

Systems Engineer

Palmetto, FL · On-site

... drone, robotics, or aerospace systems · Familiarity with mechanical integration constraints ... NVIDIA Jetson, Raspberry Pi) · Basic scripting or programming (Python, C/C++) · Experience ...

Deloitte

Physical AI Senior Manager

Jacksonville, FL

$117K - $154K/yr

Hands-on experience with NVIDIA ecosystem elements relevant to Physical AI (e.g., accelerated computing for vision/AI at the edge, simulation workflows, robotics stacks) and Siemens engineering ...

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Nvidia Robotics information

See Florida salary details

$62.8K

$71.7K

$87.1K

How much do nvidia robotics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for nvidia robotics in Florida is $71,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $76,200.00 per year, depending on experience, location, and employer.

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

To excel in Nvidia Robotics, candidates typically need a strong background in robotics engineering, computer vision, machine learning, and software development, often supported by a relevant degree in computer science, engineering, or a related field. Experience with programming languages such as Python and C++, familiarity with ROS (Robot Operating System), and certifications in AI or robotics platforms are highly valued. Strong problem-solving abilities, teamwork, and adaptability help professionals address complex technical challenges and collaborate effectively. These skills are crucial for developing, optimizing, and deploying advanced robotic systems that meet Nvidia's innovative standards.

What is an Nvidia Robotics job?

An Nvidia Robotics job involves working on cutting-edge robotics technology, including AI-powered perception, planning, and control systems. Engineers in this role develop software and hardware solutions for autonomous machines, leveraging NVIDIA's GPUs, AI frameworks, and simulation tools. These jobs often involve contributing to platforms like Isaac Sim and Jetson to accelerate robotics research and deployment across industries such as manufacturing, logistics, and healthcare.

Is it hard to get hired at NVIDIA?

Getting hired for a robotics-related role at NVIDIA can be competitive due to the company's high standards and advanced technology focus. Candidates typically need strong technical skills, relevant experience, and a solid understanding of robotics, AI, or related fields. The hiring process often involves multiple interviews and technical assessments.

Which robotics company is NVIDIA working with?

NVIDIA collaborates with various robotics companies and research institutions to develop AI and autonomous systems. These partnerships often focus on integrating NVIDIA's hardware and software platforms, such as the Jetson AI edge computing modules, into robotics applications across industries like manufacturing, logistics, and healthcare.

How much do NVIDIA robotics engineers make?

NVIDIA robotics engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior engineers with specialized skills in AI, machine learning, and robotics frameworks tend to earn higher salaries, often supplemented with bonuses and stock options.

How much do NVIDIA robotics teleoperators make?

NVIDIA robotics teleoperators typically earn between $50,000 and $80,000 annually, depending on experience, location, and specific responsibilities. The role often requires technical skills in robotics, remote operation, and troubleshooting, with some positions offering additional compensation for overtime or specialized tasks.

What are some typical responsibilities for a robotics engineer working at Nvidia, and how do they collaborate with other teams?

Robotics engineers at Nvidia are often involved in designing, developing, and testing advanced robotics solutions that leverage the company's cutting-edge AI and GPU technologies. On a daily basis, they may work on software algorithms, integrate sensor and perception systems, and optimize robotic hardware performance. Collaboration is a key part of the role, as engineers frequently interact with colleagues in software development, research, hardware engineering, and product management to bring new robotics platforms to market. Team members also participate in regular cross-functional meetings to align project goals and ensure seamless integration of robotics technologies across products.

What are the most commonly searched types of Nvidia Robotics jobs in Florida? The most popular types of Nvidia Robotics jobs in Florida are:
What are popular job titles related to Nvidia Robotics jobs in Florida? For Nvidia Robotics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Nvidia Robotics jobs in Florida look for? The top searched job categories for Nvidia Robotics jobs in Florida are:
Nvidia Robotics jobs near you
Infographic showing various Nvidia Robotics job openings in Florida as of July 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 88% Full Time, 5% Part Time, 1% Temporary, and 2% Nights. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $71,740 per year, or $34.5 per hour.

Robotics Simulation Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Posted 7 days ago

Job description

We're looking for a Simulation Engineer to own and expand our NVIDIA Isaac Sim and Omniverse simulation infrastructure. You'll build the digital twin environments, sim assets, and CI/CD pipelines that our autonomy team relies on daily. 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 have an incredible opportunity to shape the simulation infrastructure that underpins our entire autonomy stack. You will report to the Behavior Coordination Lead and work closely with machine learning, locomotion, manipulation, perception, and devops teams.
Your Role:
  • Build, maintain, and extend simulation environments in NVIDIA Isaac Sim and Omniverse for humanoid robot development.
  • Develop and manage OpenUSD sim assets: robot models, tools, workpieces, customer facility environments (shipyards, steel fabrication plants, industrial sites).
  • Create and maintain physics-accurate digital twins of customer facilities (shipyards and industrial manufacturing) for behavior validation and deployment planning.
  • Integrate all autonomy subsystems (locomotion, manipulation, perception, hands, navigation, welding) to run against Isaac Sim.
  • Design and implement behavior-level CI/CD pipelines that automatically validate robot behaviors in simulation.
  • Prototype and mock-test robot behaviors (welding, navigation, manipulation) in simulation before hardware integration.
  • Develop synthetic data generation pipelines for training perception, manipulation, and navigation models.

We're Looking For:
  • BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field.
  • 3+ years of professional experience in robotics simulation, digital twin development, or physics-based simulation environments.
  • Strong hands-on experience with NVIDIA Isaac Sim and/or NVIDIA Omniverse.
  • Working knowledge of OpenUSD (Universal Scene Description): authoring, composition, referencing, flattening, and debugging USD stage hierarchies.
  • Proficiency in Python; comfortable writing simulation tooling, test harnesses, and automation scripts.
  • Experience with at least one physics engine: PhysX, MuJoCo, Bullet, or Drake.
  • Solid understanding of robot kinematics, dynamics, and articulated body simulation.
  • Experience developing or maintaining CI/CD pipelines for simulation or robotics software.
  • Familiarity with containerization (Docker) and DevOps practices for simulation infrastructure.
  • Ability to create and manage 3D simulation assets (meshes, materials, collision geometry, articulation definitions).

Preferred or Bonus Qualifications:
  • Experience with NVIDIA Isaac Lab for reinforcement learning environment setup and training.
  • Familiarity with NVIDIA Cosmos for synthetic data generation and scene variability.
  • Experience with ROS/ROS 2 and Gazebo simulation.
  • Experience with Unreal Engine or other real-time rendering engines for robotics visualization.
  • Background in manipulation simulation: contact modeling, grasp planning, dexterous multi-fingered hand interaction, and force/torque estimation.
  • Experience with motion capture data pipelines and motion retargeting to robot models.
  • Exposure to behavior trees, task planning, or autonomy stack architecture.
  • Knowledge of Omniverse extensions development and Kit SDK.

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