Maven Robotics

Lead system-level testing and validation for robotic systems across simulation and real-robot environments. You will develop testing utilities, define release approval pipelines, and collaborate with Controls, Autonomy, Simulation, and Integration teams.

Build the autonomy and decision-making stack that enables industrial robots to plan tasks, coordinate with one another, and execute reliable behavior on real hardware. The role spans task, behavior, path, and trajectory planning, including safe integration of LLM/VLM reasoning.

Lead the development of full-stack software that orchestrates, monitors, and supports large robot fleets across customer facilities. The role spans backend services, real-time data pipelines, on-robot capabilities, and intuitive operator-facing web applications.

Architect the foundation models that power general-purpose robots, including Vision-Language-Action systems and Action World Models. You’ll advance data-efficient learning, real-world reinforcement learning, and cross-robot generalization on an evolving in-house platform.

Design and deploy reinforcement learning and imitation learning systems that enable robots to perform complex manipulation tasks. This role connects advanced ML research with real-world robotic systems, from simulation and data preparation through deployment.

Build the real-time Linux foundation powering Maven Robotics’ autonomous systems, including drivers, middleware integration, performance tooling, and OTA deployment. You’ll work across embedded software, controls, machine learning, and functional safety to create deterministic, high-performance robotic platforms.

Build and operate the infrastructure powering software development, machine learning models, and AI robotics operations. You’ll own CI/CD, cloud, containerization, automation, observability, and MLOps systems while partnering closely with software and AI teams.

Build the perception intelligence behind general-purpose AI robots, from training vision models to deploying low-latency sensor-fusion systems on robotic hardware. This role combines machine learning, computer vision, and hands-on robotics in a stealth startup environment.

Build the real-time embedded foundation that keeps advanced robots safe, deterministic, and operational. You will integrate safety-certifiable RTOSes, develop drivers and low-level systems, and collaborate across hardware and functional safety teams.