Member of Technical Staff - Robotics

Veeda Innovation; Toronto; On-site; CAD 90,000 - 160,000; Full time

Job summary

Veeda Innovation in Toronto seeks a Member of Technical Staff – Robotics to advance multimodal robotics research and hardware demonstration. You will own simulation workflows, plan sim-to-real experiments, and lead data-collection rigs for training and evaluation.

Ideal candidates combine deep robotics knowledge with Python/PyTorch and ROS 2 experience, and can design robust experiments while traveling to install and calibrate systems on-site.

Qualifications

• Bachelor’s degree or equivalent hands-on experience in Robotics, Computer Science, Mechanical or Electrical Engineering, or related field.
• Experience training robot policies in simulation and deploying on real hardware.
• Strong Python and PyTorch skills; fluency in robot software stack (ROS 2 and ros2_control), 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 to bring up and calibrate robots.

Responsibilities

• Simulation product owner: use simulation tooling for (post)training policies and provide feedback to the team.
• Sim-to-Real Transfer: design experiments to measure the sim2real gap, evaluate simulation fidelity and policy improvements.
• Teleoperation & Data Collection: Build and run rigs that produce demonstration data.
• Interface with other roboticists: learn ML language and communicate with customers, data providers and collaborators.

Skills

Python

PyTorch

Experiment design

Education

Bachelor’s degree or equivalent in Robotics, CS, EE or related

Tools

ROS 2

ros2_control

Kinematics

Camera calibration

Job description

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