General-purpose AI robots for industry
Maven Robotics builds advanced autonomous robots combining AI, hardware, and software for manufacturing and logistics. Their robots offer strength, dexterity, mobility, and reliable physical AI to boost productivity while working safely with humans. This enables scalable automation for businesses of all sizes.
Own and scale ML infrastructure for robotics AI: backend services, GPU orchestration, storage, and internal developer platforms across cloud and on-prem.
Designs Vision-Language-Action (VLA) frameworks and world models for general-purpose robots to reason, adapt, and achieve high task success in complex environments. Requires MS/PhD in CS/ML/Robotics, deep expertise in transformers, RL, or data systems, and PyTorch/JAX proficiency.
Develops motion planning and control software for AI robots, covering optimization algorithms, motor control, and electromechanical systems integration. Requires MS/PhD, expertise in Model Predictive Control, Python/C++, and multi-disciplinary problem-solving.
Builds and maintains infrastructure for software development, ML models, and AI operations including CI/CD pipelines, cloud platforms, and automation tools. Requires BS/MS in CS, experience with containerization, IaC, and programming in Python/Go/Java.
Designs and deploys reinforcement and imitation learning algorithms for robotic manipulation tasks in dynamic environments. Requires MS/PhD, deep RL/IL expertise, PyTorch proficiency, and real-world ML deployment experience in a fast-paced startup.
Designs compute hardware architectures, circuits, and PCBs for AI robots, including component selection, layout analysis, and integration with cross-functional teams. Requires 5+ years experience in electrical engineering focused on compute hardware and expertise in eCAD tools.
Develops and deploys ML-based perception algorithms for robot object detection, pose estimation, tracking, and scene understanding. Integrates sensor fusion from cameras, LiDAR, IMUs; requires MS/PhD in ML/CS/robotics, expertise in computer vision, PyTorch/TensorFlow, and real-world robotics hardware.
Develops real-time Linux platforms for AI robotics, integrating controls, ML algorithms, and drivers on multicore ARM systems. Requires MS degree, production Linux RT experience, C/C++ proficiency, and ROS 2 expertise.