RoboForce

Lead the development of production-grade AI agents and the shared foundation that powers them, spanning orchestration, context, memory, retrieval, evaluation, and reliability. This hands-on technical leadership role combines architecture, coding, and strategic application of frontier models.

Own the local mobility and safety stack for RoboForce’s humanoid robot fleet, turning AI-generated maps into safe, dynamically feasible motion on challenging terrain. This hands-on robotics role combines motion planning, real-time C++ performance, physical stability, and integration with whole-body control.

Build production-grade robotics software that powers robot behavior in complex outdoor environments. You’ll integrate autonomy, perception, planning, controls, and platform capabilities while validating them directly on deployed physical robots.

Lead the architecture and hands-on development of robotics test infrastructure spanning simulation, hardware-in-the-loop testing, ML evaluation, and factory validation. This high-impact technical leadership role builds the automation engines and pipelines that validate RoboForce’s robot fleet.

Architect and develop foundational embedded software platforms powering RoboForce’s industrial robotics systems. The role focuses on Linux-based systems, Intel and NVIDIA Jetson platforms, deployment, telemetry, DDS, and OS-level integration.

Build and integrate the software and hardware foundations for autonomous robots, spanning perception, planning, control, embedded interfaces, and real-world deployment. This senior role focuses on turning robotic prototypes into reliable, scalable production systems.

Build the data and post-training infrastructure powering RoboForce’s Physical AI and robot-learning systems. You will own multimodal robot-data pipelines, dataset curation, evaluation, and feedback loops for model retraining.

Lead the engineering of embodied AI systems that turn data, models, and actions into reliable real-world robot behavior. This hands-on technical leadership role spans onboard inference, data collection, teleoperation, reinforcement learning, and deployment on industrial robots.