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Hands-on internship focused on validating electronic circuits, debugging hardware with laboratory instruments, and developing embedded firmware for Arduino and STM32 platforms. Responsibilities include implementing CAN bus, I2C, SPI, and UART communications, validating protocols in Linux environments, improving firmware reliability, and documenting debugging procedures. The intern will collaborate in-office with robotics engineers and researchers on deployed robotic systems.

Lead engineering of the full embodied systems stack for real-world robots, owning onboard inference, data collection, teleoperation, and on-robot RL systems. Set architecture and technical direction, deliver reliable real-time deployments, close the loop between data, models and actions, and mentor engineers to scale embodied AI in industrial environments.

The role involves building and maintaining AI infrastructure, optimizing training performance, and developing tools for robot training and data workflows.

Own RoboForce’s video vision and end-to-end production, including brand films, technical demos, and company videos. Develop concepts, scripts, treatments, and storyboards; direct shoots and crews; and oversee cinematography, editing, sound, color, motion, VFX, and delivery. Translate complex robotics and engineering progress into accurate, compelling stories across campaigns, launches, web, social, recruiting, and sales. Manage agencies, budgets, schedules, assets, reviews, and usage rights while partnering with marketing, design, executives, engineers, and customers.

Lead and own end-to-end operational execution of embodied AI programs for robot learning. Build and manage a 20–50 person team across data collection, annotation, and teleoperation; define SOPs, KPIs, fleet readiness, vendor management, and evaluation workflows; partner with researchers to translate priorities into scalable operational plans.

The Manufacturing Engineer will optimize manufacturing processes, develop equipment, design assembly sequences, and support production scaling while collaborating with design and operations teams.

Develop software for robotics, focusing on autonomy and systems integration. Responsibilities include building, validating, and maintaining robotics capabilities and tools.

Own full-cycle recruiting for technical and business roles across robotics and Physical AI. Partner with hiring managers to define hiring strategies, source specialized talent, design structured interviews, use data and AI tools to improve effectiveness, manage offers/closing, and build talent pipelines while representing the company professionally.

Manage day-to-day finance and accounting operations, budgeting, forecasting, and reporting. Establish finance infrastructure and improve financial processes.

The Lead Software Engineer will architect the test infrastructure for robotics, integrating various teams, and ensuring continuous testing through automated frameworks and CI/CD pipelines.