Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

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

Own the policy stack end to end, from imitation pre-training to RL post-training of flow-matching and tokenized action heads on teleoperated, simulated, and world-model rollout data.
Shrink the reality gap with domain randomization, system identification against real actuator response, and control-rate matching.
Build and run rigs that produce demonstration data and treat operator throughput and demonstration quality as engineering problems.
Bring up arms, mobile bases, and humanoids on ROS 2 or in-house controllers, keep policies within the control-loop budget, and own the interlocks and safety envelope.
Design on-robot evaluation protocols and use them as ground truth for scoring simulation and world-model rollouts.

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 and deploying them on real hardware, including troubleshooting non-moving robots.
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 work on-site with robots regularly for bring-up, calibration, teleoperation, and evaluation.

Skills

Python
PyTorch
ROS 2
ros2_control
Kinematics
Camera-to-robot calibration
Humanoid or quadruped whole-body control
Dexterous, contact-rich manipulation with force or tactile feedback
Robot cell establishment
Data-collection operation setup
Post-training vision-language-action models
RL fine-tuning of flow-based policies
Large-scale parallel RL
Real-time control loops (EtherCAT or CAN)
RTOS
Quantized on-robot inference
Robot learning research
Imitation learning research
Embodied AI research
Open-source robot learning projects (LeRobot, robosuite, ManiSkill)

Location

On-site

Work Type

Full-time

Experience Level

Member of Technical Staff

Education Level

Bachelor's degree or equivalent hands-on experience

About the Company

Veeda AI is building the next generation of multimodal foundation world models for Physical AI.
Small, fast-moving team of engineers and researchers from leading AI labs.
Tackling challenging problems at the intersection of AI, robotics, and embodied intelligence.