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Nvidia Data Scientist Jobs in Florida (NOW HIRING)

D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field * Solid ... Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T) * Exposure to distributed computing ...

D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field * Solid ... Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T) * Exposure to distributed computing ...

Senior AI Engineer - SFL Scientific

Miami, FL · On-site

$99K - $137K/yr

... and implement scalable data architecture solutions for machine learning applications ... Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. • Live within ...

We're Looking For: * BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, or a ... Familiarity with NVIDIA Cosmos for synthetic data generation and scene variability. * Experience ...

We're Looking For: * BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, or a ... Familiarity with NVIDIA Cosmos for synthetic data generation and scene variability. * Experience ...

Degree in Robotics, Computer Science, or a related field, or equivalent hands-on experience ... MuJoCo Playground, NVIDIA Warp, or Newton. * Omniverse Replicator or comparable synthetic data ...

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting ... NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ...

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting ... NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ...

... API Gateway, Data Science, Autonomous Database, and Oracle Integration Cloud • Experience ... NVIDIA NIM, or Hugging Face • Experience leading AI or ERP transformation programs for large ...

DevOpsEngineer

Wellington, FL

$49.25 - $67.50/hr

Our data scientists build LLM-powered agents, RAG pipelines, and ontology-driven analytics -- your ... Experience operating GPU infrastructure (NVIDIA drivers, CUDA, MIG, GPU operator, scheduling) in ...

Service Engineer

Miami, FL · On-site

$79K - $87K/yr

Supermicro ® is a Top Tier provider of advanced server, storage, and networking solutions for Data ... as NVIDIA HGX/DGX-based systems. • Troubleshoot GPU-related issues (ECC errors, thermal ...

Service Engineer

Miami, FL · On-site

$79K - $87K/yr

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent ...

Service Engineer

Miami, FL · On-site

$79K - $87K/yr

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data ... Support GPU platforms such as NVIDIA HGX/DGX-based systems. * Troubleshoot GPU-related issues (ECC ...

Deployment Strategist (USA)

Miami, FL

$116K - $150K/yr

  • Medical

  • Retirement

Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ... Collaborate with Unit8 Data Scientists and Engineers to ensure the backend logic supports the ...

... Functions, API Gateway, Data Science, Autonomous Database, and Oracle Integration Cloud ... Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ...

... Functions, API Gateway, Data Science, Autonomous Database, and Oracle Integration Cloud ... Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ...

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Nvidia Data Scientist information

See Florida salary details

$34.4K

$123.3K

$182K

How much do nvidia data scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for nvidia data scientist in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a Nvidia data scientist?

A Nvidia Data Scientist leverages AI, machine learning, and deep learning to develop models and algorithms that optimize GPU-accelerated computing solutions. They work with large datasets, conduct research, and build scalable data-driven solutions for industries like gaming, autonomous vehicles, and healthcare. Their role involves collaborating with engineers and researchers to improve AI frameworks and performance on Nvidia hardware. Proficiency in Python, deep learning frameworks (TensorFlow, PyTorch), and data analytics is essential.

What types of projects does a Nvidia data scientist typically work on, and how do they contribute to the company's core technologies?

Nvidia Data Scientists are often involved in pioneering projects related to AI model development, computer vision, natural language processing, and deep learning applications optimized for GPU hardware. They collaborate closely with research engineers, software developers, and product teams to create scalable AI solutions that enhance Nvidia’s products, ranging from gaming to autonomous systems. A typical week might involve experimenting with new algorithms, analyzing large datasets, optimizing code for GPU acceleration, and translating research breakthroughs into practical applications. This role offers continuous learning opportunities and plays a direct part in shaping industry-leading technologies.

What are the key skills and qualifications needed to thrive as a Nvidia data scientist, and why are they important?

To thrive as an Nvidia Data Scientist, you need a solid background in statistics, machine learning, computer science, and typically a graduate degree in a related field. Proficiency with Python, deep learning frameworks (such as TensorFlow or PyTorch), GPU computing, and experience with large-scale data systems are highly valued, along with relevant certifications. Analytical thinking, strong problem-solving abilities, and clear communication are soft skills that set candidates apart in this collaborative, fast-evolving field. These capabilities are essential for driving innovation, building robust AI solutions, and contributing effectively to cross-functional teams at Nvidia.

Is a Nvidia Data Scientist job still in demand?

Nvidia Data Scientist roles remain in high demand due to the company's focus on AI, machine learning, and deep learning technologies. These positions often require expertise in programming, data analysis, and familiarity with Nvidia's tools like CUDA and GPU computing, making them valuable in industries such as technology, automotive, and healthcare.

What are the most commonly searched types of Nvidia Data Scientist jobs in Florida?

The most popular types of Nvidia Data Scientist jobs in Florida are:

What job categories do people searching Nvidia Data Scientist jobs in Florida look for?

The top searched job categories for Nvidia Data Scientist jobs in Florida are:

Infographic showing various Nvidia Data Scientist job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

Robotics Data Pipeline Intern

Persona AI

Pensacola, FL • On-site

Other

Re-posted 2 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