Company Overview
Verne Robotics is building intelligent robotic arms that can learn new skills in hours, not months. Backed by Y Combinator and top-tier Silicon Valley investors, we’re turning “physical AI” into reality — helping industries facing acute labor shortages (hospitality, logistics, manufacturing, and more) automate back-of-house tasks like packaging, kitting, and folding.
Our flagship platform combines affordable robotic arm hardware with cutting-edge imitation learning algorithms, enabling reliable, sample-efficient robots that deliver customer value from day one. We’re already working with pilot partners across multiple sectors and scaling rapidly.
The founding team brings experience from Apple, Stanford, and Microsoft, with deep expertise in robotics, embodied AI, and large-scale machine learning.
What you'd do
- Design and implement manipulation algorithms on real and simulated robot platforms
- Run experiments on physical robot arms, and help improve our tele-operation and control systems
- Work closely with the founding team on high-impact projects spanning perception, control, and systems integration
- Contribute to infrastructure for testing, visualization, and reproducibility of experiments
- Occasionally get hands-on with hardware—assembling robots, swapping sensors, and keeping our fleet running smoothly
What they want
- Current BS, MS or PhD student in Robotics, Computer Science, AI, or a related field
- Hands-on experience with robotic systems (e.g., Franka, UR, Kinova) or simulators (e.g., PyBullet, Mujoco)
- Familiarity with modern policy learning techniques (e.g., imitation learning, reinforcement learning, diffusion policies)
- Proficiency in Python
- Have experience in PyTorch
- Passion for physical AI, real-world deployment, and solving hard problems with small teams
- Excellent communication skills and the ability to work independently in a fast-paced environment
What you get
- Location: Bay Area required, office in South SF
- Duration: 12 weeks