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Nvidia Robotics Jobs in Florida (NOW HIRING)

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T) * Exposure to distributed computing (Ray, Spark) or simulation environments (Omniverse, MuJoCo) * Any project work involving synthetic ...

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 ...

Comrise

Principal Software Engineer

Weston, FL · On-site

$100 - $115/hr

This work includes migrating the existing Mako OR simulator to NVIDIA Isaac Sim and expanding the simulation environment to support operating room (OR) layout optimization, robotic system simulation ...

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 ...

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 ...

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Nvidia Robotics information

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$62.8K

$71.7K

$87.1K

How much do nvidia robotics jobs pay per year?

As of Aug 5, 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 for a robotics position at Nvidia?

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.

Does Nvidia Robotics have a robotics department?

Nvidia Robotics is a division within Nvidia focused on developing robotics solutions, including AI, sensors, and autonomous systems. The division employs engineers and researchers specializing in robotics, computer vision, and machine learning to advance robotics technology. Job seekers interested in Nvidia Robotics should have skills in AI, programming, and robotics systems integration.

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. Salaries for robotics engineers at Nvidia can vary based on skills in AI, machine learning, and programming with tools like CUDA and ROS.

What are the typical responsibilities of a robotics engineer at Nvidia?

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 Data Pipeline Intern

Persona AI

Pensacola, FL • On-site

Full-time

Re-posted 21 days ago

Job description

Robotics Data Pipeline Intern - Multimodal Data
About Us At Persona, we're building the next generation of humanoid robots, and that requires an unprecedented volume of high-quality, multimodal data. We're moving beyond basic teleoperation to leverage massive datasets of in-the-wild egocentric video combined with dense sensor streams (IMU, haptics, kinematics, and high-fidelity force profiles). We're looking for a curious, technically sharp intern to roll up their sleeves and help us turn raw, unstructured multimodal data into high-fidelity training assets for our robots.
The Role As a Data Pipeline Intern, you'll work directly alongside our data and robotics engineering teams to support the infrastructure that feeds our foundation models. You'll get hands-on experience with real multimodal data challenges, from sensor stream processing and video pipeline optimization to force analysis and kinematic retargeting. This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real code.
What You'll Work On
  • Rebuilding and extending pipelines that ingest and synchronously process egocentric video alongside rich sensor streams (IMU, force-torque, tactile, proprioception)
  • Owning post-processing algorithms for force analysis and hidden state inference, including contact force estimation, occlusion handling, and inverse kinematics gap-filling
  • Bridging kinematic retargeting work that translates human hand tracking into humanoid end-effector coordinates
  • Optimizing and testing data augmentation strategies (spatial, temporal, synthetic viewpoints, sensor noise injection)
  • Tying together work across our Hardware Teleoperation Team to help align human-robot play-data across modalities

What We're Looking For
  • Currently pursuing a B.S., M.S., or Ph.D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field
  • Solid Python skills and exposure to PyTorch, particularly around data loading or multimodal datasets
  • Coursework or project experience with computer vision, time-series data, or sensor processing
  • Familiarity with video processing tools (OpenCV, FFmpeg) or pose estimation frameworks (MediaPipe) is a plus
  • Awareness of imitation learning, VLA architectures, or human-to-robot transfer concepts is a plus, but genuine curiosity counts for a lot here

Bonus Points
  • Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T)
  • Exposure to distributed computing (Ray, Spark) or simulation environments (Omniverse, MuJoCo)
  • Any project work involving synthetic data generation or tactile/spatial data representations

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