... IMU, haptics, kinematics, and high-fidelity force profiles). We're looking for a curious ... This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ...
... IMU, haptics, kinematics, and high-fidelity force profiles). We're looking for a curious ... This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ...
Internship Haptics information
What types of projects can an intern expect to work on in a haptics internship, and how collaborative is the environment?
As a haptics intern, you can expect to contribute to projects involving the development, testing, and refinement of tactile feedback technologies, often for consumer electronics, automotive, or virtual reality applications. You'll typically work closely with multidisciplinary teams, including mechanical engineers, software developers, and user experience designers. The environment is highly collaborative, with interns participating in brainstorming sessions, prototype development, and user testing, offering ample opportunities to learn from experienced professionals and contribute innovative ideas.
What are the key skills and qualifications needed to thrive as an Internship Haptics, and why are they important?
To thrive in a Haptics Internship, you typically need a background in engineering, computer science, or related fields, with knowledge of human-computer interaction and tactile technologies. Experience with programming languages (like C++, Python), hardware prototyping tools (such as Arduino or Raspberry Pi), and simulation or design software is often required. Strong problem-solving skills, creativity, and effective communication help interns collaborate and contribute innovative ideas. These skills enable interns to effectively develop, test, and improve haptic systems, contributing to advancements in touch-based technology.
What is an Internship in Haptics?
An Internship in Haptics is a temporary position for students or recent graduates to gain hands-on experience working with haptic technology—the science of touch in human-computer interactions. Interns typically assist with designing, developing, and testing devices or software that simulate tactile sensations. These internships provide valuable exposure to fields like robotics, virtual reality, and user interface design, and often involve working alongside engineers and researchers. The goal is to help interns build practical skills, expand their professional network, and explore career paths in haptics and related industries.
What is the difference between Internship Haptics vs Haptics Engineer?
| Aspect | Internship Haptics | Haptics Engineer |
|---|---|---|
| Required Credentials | Enrolled in relevant degree program, basic technical skills | Bachelor's or Master's in Engineering, specialized knowledge in haptics |
| Work Environment | Internship setting, learning-focused, entry-level tasks | Full-time professional role, design and development of haptic systems |
| Employer & Industry Usage | Tech companies, research labs, startups | Consumer electronics, gaming, virtual reality industries |
Internship Haptics provides hands-on experience for students or entry-level individuals exploring haptics, focusing on learning and support tasks. In contrast, a Haptics Engineer is a full-time professional responsible for designing and developing advanced haptic technologies, requiring more experience and specialized skills.
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Full-time
Re-posted 15 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