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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 ...

MOBY Robotics

Autonomy & Software Engineer

Miami, FL · On-site

Experience with underwater robotics (AUVs, ROVs) or marine/subsea systems Experience with NVIDIA Jetson, Raspberry Pi, Arduino or other microcontrollers * Familiarity with acoustic positioning ...

Deloitte

Physical and Spatial AI Engineer III

Tampa, FL

$54.25 - $73/hr

Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems ... Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related ...

Deloitte

Physical and Spatial AI Engineer III

Miami, FL

$55 - $74/hr

Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems ... Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related ...

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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 Jun 13, 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.

Which robotics company partner with NVIDIA?

NVIDIA Robotics partners with several leading robotics companies, including Boston Dynamics, Fetch Robotics, and Omron. These collaborations often involve integrating NVIDIA's AI and computing platforms to enhance robot perception, navigation, and automation capabilities.

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 hire remote workers?

NVIDIA offers remote work opportunities for certain roles, including positions in robotics and engineering, depending on the team and project requirements. Remote work policies vary by department and location, and candidates should review specific job postings for remote options and eligibility criteria.

Is it hard to get hired at NVIDIA?

Getting hired for a robotics-related role at NVIDIA can be competitive, as the company seeks candidates with strong technical skills, relevant experience, and often advanced degrees in engineering or computer science. The hiring process typically involves multiple interviews, technical assessments, and a review of project work or certifications. Success depends on demonstrating expertise in areas like AI, machine learning, or robotics, and aligning with NVIDIA's innovation-focused environment.

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 may earn higher salaries, often supplemented with bonuses and stock options.

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:
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Nvidia Robotics jobs near you
Infographic showing various Nvidia Robotics job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% 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

Posted 28 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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