Maven Robotics

Leads the end-to-end development of dexterous robotic end-effectors, from concept and system architecture through prototyping, integration, and testing. Requires 5+ years developing robotic systems and experience with dexterous manipulation and electromechanical integration.

Builds, modifies, tests, and troubleshoots advanced electromechanical prototypes and lab systems. Requires 10+ years of hands-on technician experience, strong fabrication and diagnostic skills, and knowledge of motors, controls, and sensor interfaces.

The Robot System Testing Engineer will define and execute system-level validation strategies for robotic platforms across simulation and physical robots. The role requires robotics testing expertise, C++ and Python proficiency, and familiarity with ROS 2, Linux, communication protocols, and simulation tools.

Integrates, tests, debugs, and deploys complete robotic systems across hardware, software, sensing, actuation, and customer environments. Requires an engineering degree, field-bus and actuation expertise, test-development experience, and C++ or Python proficiency.

Supports robotic pilot deployments at customer sites by operating, integrating, troubleshooting, and maintaining robotic and electromechanical systems. Requires a technical bachelor's degree, hands-on robotics experience, programming proficiency, and 40–50% travel.

Build and operate the autonomy stack for industrial robots, spanning task, behavior, motion, and trajectory planning. The role requires hands-on hardware experience, strong Python and C++ skills, and expertise in planning architectures, recovery, and multi-robot coordination.

Develop mathematical models for robots, manipulators, and operating environments while integrating scalable simulation into development and deployment workflows. Requires an advanced degree and experience modeling complex dynamic systems.

Leads development of full-stack software for safe, reliable robot fleet operations, spanning back-end services, real-time data pipelines, on-robot software, and operator-facing web applications. Requires 5+ years of full-stack development experience and a bachelor's or master's degree.

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.

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.

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.

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 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.