Robotics Data Pipeline Intern

Pensacola, FL, US • Posted 5 days ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Job Details

Skills

  • Personas
  • Training
  • Extract
  • Transform
  • Load
  • Optimization
  • Fetch
  • Streaming
  • Algorithms
  • Classical Mechanics
  • Bridging
  • Retargeting
  • Testing
  • Collaboration
  • Computer Hardware
  • Computer Science
  • Data Engineering
  • Machine Learning (ML)
  • Python
  • PyTorch
  • Data Loading
  • Computer Vision
  • Time Series
  • Sensors
  • Video
  • OpenCV
  • FFmpeg
  • Estimating
  • Robotics
  • Cosmos
  • GR
  • Distributed Computing
  • Apache Spark

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80183771
  • Position Id: a4d90a7fbc31c78f68d7aab1e7ba4b16
  • Posted 5 days ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Pensacola, Florida

Today

Full-time

Pensacola, Florida

Today

Full-time

Pensacola, Florida

Today

Full-time

Pensacola, Florida

Today

Full-time

Search all similar jobs