This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ... Owning post-processing algorithms for force analysis and hidden state inference, including contact ...
This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ... Owning post-processing algorithms for force analysis and hidden state inference, including contact ...
Internship Spatial Audio Algorithms information
What is the difference between Internship Spatial Audio Algorithms vs Audio Software Developer?
| Aspect | Internship Spatial Audio Algorithms | Audio Software Developer |
|---|---|---|
| Required Credentials | Enrolled in relevant degree, basic programming skills | Bachelor's or higher in computer science or related field, programming skills |
| Work Environment | Research labs, audio tech companies, internships | Software companies, tech firms, audio industry |
| Industry Usage | Focus on developing spatial audio algorithms, research projects | Designing, coding, and maintaining audio software applications |
Internship Spatial Audio Algorithms roles typically involve research and development of spatial audio techniques during an internship, focusing on algorithm creation. In contrast, Audio Software Developers work on building and maintaining audio applications, often with more experience and responsibility. Both roles require programming skills, but internships are entry-level and more research-oriented, while developer roles are professional positions with broader scope.
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Full-time
Posted 6 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
What We're Looking For
Bonus Points
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