Member of Technical Staff - Robotics

h3Member of Technical Staff - Robotics /h3 pAbout Us /p pVeeda 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. /p h3Responsibilities /h3 ul liRobotics Systems Data: Build and maintain robotic systems and data-collection workflows that support research and evaluation. /li liReal-World Experimentation: Design and run hardware experiments to assess performance, robustness, and generalization. /li liEvaluation Analysis: Develop reproducible benchmarks, investigate failure modes, and use findings to guide model and system improvements. /li liResearch Collaboration: Work closely with researchers and engineers to connect advances in machine learning with practical robotics challenges. /li /ul h3Requirements /h3 ul liPhD degree or equivalent hands-on experience in Robotics, Computer Science, Mechanical or Electrical Engineering, or a related technical field. /li liExperience developing learning-based robot policies and deploying them on real hardware. /li liStrong Python and PyTorch skills, with proficiency in a robot software stack. /li liSolid understanding of robot kinematics, sensing, calibration, and system integration. /li liAbility to independently design, execute, and analyze reproducible robotics experiments. /liliWillingness and ability to travel for hands-on robot setup, testing, and deployment. /li /ul h3Nice to Have /h3 ul liExperience with manipulation, locomotion, or whole-body control. /li liExperience establishing a robotics lab or data-collection operation from scratch. /li liExperience with imitation learning, reinforcement learning, or robot foundation models. /li liExperience with robotics simulation and transferring learned behaviors across environments. /li liExperience working with multimodal sensor data, teleoperation systems, or tactile and force feedback. /li liPublications or substantial contributions to research on robot learning or embodied AI. /li liContributions to open-source robotics projects or research infrastructure. /li /ul #J-18808-Ljbffr