Member of Technical Staff – Robotics
About Us
Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.
Responsibilities
Simulation product owner:
use our simulation tooling for (post)training policies (pi-0 family, GR00T N) and provide feedback to the rest of the team.
Sim-to-Real Transfer:
design experiments to measure the sim2real gap of our simulation stack, evaluate both simulation fidelity and policy improvements.
Teleoperation & Data Collection:
Build and run the rigs that produce demonstration data.
Interface with other roboticists:
learn our ML language and help us talk with customers, data providers and other collaborators who speak robot.
Requirements
Bachelor’s degree or equivalent hands-on experience in Robotics, Computer Science, Mechanical or Electrical Engineering, or a related technical field
Experience training robot policies in simulation and deploying them on real hardware
Strong Python and PyTorch skills; fluency in a robot software stack (ROS 2 and ros2_control, or equivalent), including kinematics and camera-to-robot calibration
Ability to design real-world experiments with randomized initial conditions and statistically meaningful results
Willingness and ability to travel on-site bring up and calibrate robots
Nice to Have
Experience with humanoid or quadruped whole-body control, or dexterous, contact-rich manipulation with force or tactile feedback
Experience establishing a robot cell or data-collection operation from scratch
Experience post-training vision-language-action models, including RL fine-tuning of flow-based policies
Experience running large-scale parallel RL in Isaac Lab, MuJoCo Warp, Newton, or Genesis
Publication or contribution to research on robot learning, imitation learning, or embodied AI
Contribution to open-source robot learning projects such as LeRobot, robosuite, or ManiSkill