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Physical AI Career

Build Your Career in Physical AI, Turn Knowledge Into Real-World Impact

Jobs, internships and live hardware-and-AI projects from the same companies that build robotics, edge AI and IoT products on TwoElectrons. Learn on real deployments, not simulations.

Explore Opportunities → Create Student Profile
120+Live openings
65+Hiring partners
40+Live projects/month
100+Students on platform
Career Roadmap

Where students usually get stuck - and how this fixes it

Physical AI needs hands-on hardware experience that classrooms rarely give you. Here's the shortest real path.

01

Foundations

Get comfortable with embedded C/C++, Python, sensors and microcontrollers before applying.

Arduino ESP32 Python
02

Live Project

Join a real, paid live project - build with actual hardware, actual deadlines, a real client.

Mentor-led Portfolio piece
03

Internship

Convert project experience into a 2-6 month internship with a hiring partner on the platform.

Paid Certificate
04

Full-Time Role

Apply directly to entry-level Physical AI, robotics and embedded roles from verified employers.

0-2 yrs exp Priority review
Entry-Level Jobs

New Physical AI roles coming soon

We're preparing exciting full-time opportunities for engineers, developers and innovators ready to build the next generation of Physical AI.

Physical AI IoT & Edge AI Robotics Embedded Systems
Jobs coming soon
Internships

New internship opportunities coming soon

Hands-on internships with real hardware, IoT, Edge AI and Physical AI teams are on the way.

Hands-on Learning Hardware Edge AI Industry Experience
Internships coming soon
Live Projects

New live projects coming soon

Build practical Physical AI projects, experiment with real hardware and gain experience you can add to your portfolio.

Real Hardware Build & Test Physical AI Portfolio Projects
Projects coming soon
Skills to Learn

What Physical AI recruiters actually screen for

Build the practical skills employers look for across embedded systems, sensors, connectivity, edge AI and real-world hardware integration.

Browse Knowledge Hub →

Embedded & Edge Systems

  • C/C++ on microcontrollers (ESP32, STM32)
  • RTOS basics & interrupt-driven design
  • Sensor interfacing — I2C, SPI, UART
  • Power budgeting for battery-run nodes

Applied AI & Vision

  • Python + PyTorch/TensorFlow fundamentals
  • Model quantisation for edge deployment
  • Computer vision basics (OpenCV)
  • Data labelling & dataset hygiene

Connectivity & Robotics

  • BLE, LoRaWAN & MQTT
  • ROS2 fundamentals
  • SLAM & motion-planning concepts
  • Datasheet reading & hardware debugging
How It Works

From student profile to your first Physical AI role

1

Create your student profile

Add your skills, college, year and the Physical AI tracks you want to explore.

2

Pick an opportunity

Apply to jobs and internships, or join a live project suited to your level.

3

Build proof of work

Complete real hardware milestones and add deployment experience to your portfolio.

4

Move into industry

Use your project and internship history to strengthen applications for full-time roles.

FAQs

Common questions from students

Do I need prior robotics or AI experience to apply? +

No. Most live projects are designed for students with basic programming knowledge. We tag each opportunity as Beginner, Intermediate or Advanced so you know what to expect before joining.

Are live projects paid? +

Yes - every live project on the platform carries a stipend, along with a hardware kit where needed. You keep the portfolio write-up and, where permitted by the client, the code.

Can I apply to jobs without doing an internship first? +

Yes, jobs are open to direct applications. A strong portfolio project can be just as useful as internship experience for many entry-level Physical AI roles.